immunedeconv_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7cb70ef4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: nnls\n",
      "\n",
      "Loading required package: ggplot2\n",
      "\n",
      "Loading required package: BiocGenerics\n",
      "\n",
      "\n",
      "Attaching package: ‘BiocGenerics’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    IQR, mad, sd, var, xtabs\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    anyDuplicated, append, as.data.frame, basename, cbind, colnames,\n",
      "    dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,\n",
      "    grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,\n",
      "    order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,\n",
      "    rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,\n",
      "    union, unique, unsplit, which.max, which.min\n",
      "\n",
      "\n",
      "Welcome to Bioconductor\n",
      "\n",
      "    Vignettes contain introductory material; view with\n",
      "    'browseVignettes()'. To cite Bioconductor, see\n",
      "    'citation(\"Biobase\")', and for packages 'citation(\"pkgname\")'.\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘dplyr’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:Biobase’:\n",
      "\n",
      "    combine\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:BiocGenerics’:\n",
      "\n",
      "    combine, intersect, setdiff, union\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    filter, lag\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    intersect, setdiff, setequal, union\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘reshape’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:dplyr’:\n",
      "\n",
      "    rename\n",
      "\n",
      "\n",
      "corrplot 0.92 loaded\n",
      "\n",
      "Loading required package: EPIC\n",
      "\n",
      "Warning message:\n",
      "“replacing previous import ‘biomaRt::select’ by ‘dplyr::select’ when loading ‘immunedeconv’”\n",
      "Warning message:\n",
      "“Coercing boolean to numeric in C22 / R22C3”\n",
      "Warning message:\n",
      "“Coercing boolean to numeric in C25 / R25C3”\n",
      "Warning message:\n",
      "“Coercing boolean to numeric in C26 / R26C3”\n",
      "Warning message:\n",
      "“Coercing boolean to numeric in C53 / R53C3”\n",
      "Warning message:\n",
      "“Coercing boolean to numeric in C61 / R61C3”\n",
      "\n",
      "Attaching package: ‘tidyr’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:reshape’:\n",
      "\n",
      "    expand, smiths\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(MuSiC)\n",
    "library(Biobase)\n",
    "library(survival)\n",
    "library(ggplot2)\n",
    "library(dplyr)\n",
    "library(ggcorrplot)\n",
    "library(reshape)\n",
    "library(corrplot)\n",
    "library(immunedeconv)\n",
    "library(tidyr)\n",
    "library(tibble)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d052fc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_TCGA <- read.table(\"/home/cke/TCGA-HNSC.htseq_counts_exp2_symbol.tsv\",sep='\\t',header=TRUE,row.names = 'Gene_symbol')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "70fbd320",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 38929 × 546</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>TCGA.BB.4224.01A</th><th scope=col>TCGA.H7.7774.01A</th><th scope=col>TCGA.CV.6943.01A</th><th scope=col>TCGA.CN.5374.01A</th><th scope=col>TCGA.CQ.6227.01A</th><th scope=col>TCGA.CV.6959.01A</th><th scope=col>TCGA.F7.A61V.01A</th><th scope=col>TCGA.CV.7413.01A</th><th scope=col>TCGA.CV.7247.01A</th><th scope=col>TCGA.CR.5249.01A</th><th scope=col>⋯</th><th scope=col>TCGA.CV.6960.11A</th><th scope=col>TCGA.CV.A464.01A</th><th scope=col>TCGA.C9.A47Z.01A</th><th scope=col>TCGA.CN.6010.01A</th><th scope=col>TCGA.WA.A7GZ.11A</th><th scope=col>TCGA.CV.7235.01A</th><th scope=col>TCGA.CX.7086.01A</th><th scope=col>TCGA.CV.6935.11A</th><th scope=col>TCGA.P3.A6SW.01A</th><th scope=col>TCGA.HD.A6HZ.01A</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>TSPAN6</th><td>2237</td><td> 2740</td><td> 2686</td><td> 2086</td><td>10167</td><td> 1154</td><td>1978</td><td> 1930</td><td> 1066</td><td> 2538</td><td>⋯</td><td>3340</td><td>  929</td><td>1707</td><td> 2218</td><td>2537</td><td>  492</td><td> 2741</td><td> 8492</td><td>  770</td><td> 923</td></tr>\n",
       "\t<tr><th scope=row>TNMD</th><td>   2</td><td>    0</td><td>    0</td><td>    1</td><td>    9</td><td>    6</td><td>   1</td><td>    1</td><td>    1</td><td>    0</td><td>⋯</td><td>   0</td><td>    2</td><td>   0</td><td>    0</td><td>  41</td><td>    0</td><td>    0</td><td>    3</td><td>    1</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>DPM1</th><td>1606</td><td> 1691</td><td> 1649</td><td> 2333</td><td> 3021</td><td> 2766</td><td>1762</td><td> 1668</td><td> 1760</td><td> 1268</td><td>⋯</td><td>1388</td><td> 2332</td><td>1926</td><td> 1574</td><td>1171</td><td>  976</td><td> 1952</td><td> 1578</td><td> 1569</td><td>1183</td></tr>\n",
       "\t<tr><th scope=row>SCYL3</th><td>1063</td><td>  803</td><td>  917</td><td> 1288</td><td>  537</td><td>  527</td><td> 482</td><td>  671</td><td>  600</td><td> 1066</td><td>⋯</td><td> 608</td><td>  472</td><td> 410</td><td>  852</td><td> 557</td><td>  376</td><td> 1003</td><td>  818</td><td>  620</td><td> 607</td></tr>\n",
       "\t<tr><th scope=row>C1orf112</th><td>1208</td><td>  317</td><td>  402</td><td> 1105</td><td>  459</td><td>  747</td><td> 331</td><td>  476</td><td>  874</td><td>  950</td><td>⋯</td><td> 206</td><td>  386</td><td> 210</td><td>  729</td><td> 127</td><td>  363</td><td> 1103</td><td>  281</td><td>  591</td><td> 344</td></tr>\n",
       "\t<tr><th scope=row>FGR</th><td> 256</td><td>  330</td><td> 1535</td><td>  639</td><td>  362</td><td>  906</td><td> 147</td><td>  477</td><td>  204</td><td>  924</td><td>⋯</td><td> 304</td><td>  331</td><td> 134</td><td>  550</td><td> 165</td><td>  488</td><td>  214</td><td>  419</td><td>  462</td><td> 925</td></tr>\n",
       "\t<tr><th scope=row>CFH</th><td> 177</td><td> 5472</td><td>15358</td><td> 5565</td><td> 6963</td><td>12856</td><td> 793</td><td> 3669</td><td> 2791</td><td> 5289</td><td>⋯</td><td>6363</td><td> 7799</td><td>1264</td><td> 5558</td><td>4651</td><td> 5178</td><td> 1809</td><td> 7368</td><td> 2082</td><td>2482</td></tr>\n",
       "\t<tr><th scope=row>FUCA2</th><td>2371</td><td> 2316</td><td> 3490</td><td> 2065</td><td> 4883</td><td> 6120</td><td>2364</td><td> 3366</td><td> 1837</td><td> 2584</td><td>⋯</td><td>1242</td><td> 3028</td><td>1356</td><td> 2921</td><td> 647</td><td> 2138</td><td> 2639</td><td> 1355</td><td> 1603</td><td>1769</td></tr>\n",
       "\t<tr><th scope=row>GCLC</th><td>2741</td><td> 8370</td><td> 4671</td><td> 2902</td><td> 3140</td><td> 7448</td><td>2827</td><td> 2324</td><td> 9779</td><td> 2971</td><td>⋯</td><td>2100</td><td> 2494</td><td>3710</td><td> 8749</td><td>3029</td><td>20007</td><td>13623</td><td> 2276</td><td>31675</td><td>3949</td></tr>\n",
       "\t<tr><th scope=row>NFYA</th><td>2515</td><td>  816</td><td> 2080</td><td> 1777</td><td> 2448</td><td> 3527</td><td>1159</td><td> 1459</td><td> 1916</td><td> 2572</td><td>⋯</td><td>1369</td><td> 1711</td><td>1671</td><td> 1596</td><td> 848</td><td> 4131</td><td> 2530</td><td> 1583</td><td> 1473</td><td> 899</td></tr>\n",
       "\t<tr><th scope=row>STPG1</th><td>1273</td><td>  455</td><td>  686</td><td>  504</td><td> 1730</td><td>  975</td><td>1237</td><td> 1624</td><td>  931</td><td>  746</td><td>⋯</td><td> 666</td><td>  972</td><td> 611</td><td> 1434</td><td> 303</td><td>  411</td><td> 1662</td><td>  619</td><td>  534</td><td> 956</td></tr>\n",
       "\t<tr><th scope=row>NIPAL3</th><td>1036</td><td> 2173</td><td> 2877</td><td> 2530</td><td> 4127</td><td> 3187</td><td>1369</td><td> 2721</td><td> 3503</td><td> 4140</td><td>⋯</td><td>2467</td><td> 2771</td><td>1106</td><td> 5552</td><td>2067</td><td>  948</td><td> 3134</td><td> 2994</td><td> 1441</td><td>1009</td></tr>\n",
       "\t<tr><th scope=row>LAS1L</th><td>4205</td><td> 2281</td><td> 3950</td><td> 2812</td><td> 1656</td><td> 3916</td><td>2318</td><td> 2881</td><td> 4760</td><td> 2434</td><td>⋯</td><td>1974</td><td> 2010</td><td>2556</td><td> 3471</td><td>1060</td><td> 4242</td><td> 2017</td><td> 2516</td><td> 1597</td><td>2057</td></tr>\n",
       "\t<tr><th scope=row>ENPP4</th><td>  36</td><td>   71</td><td>  352</td><td>  542</td><td>  364</td><td>  305</td><td>  88</td><td>   29</td><td>  305</td><td>  407</td><td>⋯</td><td> 116</td><td>  108</td><td>  30</td><td>  484</td><td>1045</td><td>   84</td><td>  359</td><td>  282</td><td>   95</td><td> 166</td></tr>\n",
       "\t<tr><th scope=row>SEMA3F</th><td>5270</td><td>14807</td><td>10608</td><td>10675</td><td> 9176</td><td> 6871</td><td>3595</td><td> 6713</td><td> 4538</td><td>14983</td><td>⋯</td><td>9900</td><td> 5209</td><td>8838</td><td> 6240</td><td>4345</td><td> 5266</td><td> 4678</td><td>14400</td><td> 7338</td><td>3311</td></tr>\n",
       "\t<tr><th scope=row>CFTR</th><td>  22</td><td>   51</td><td>    2</td><td>   10</td><td>    0</td><td>    2</td><td> 214</td><td>   14</td><td>    6</td><td>  109</td><td>⋯</td><td> 261</td><td>    0</td><td>   1</td><td>  313</td><td> 119</td><td>    2</td><td>   23</td><td>  316</td><td>    1</td><td>   4</td></tr>\n",
       "\t<tr><th scope=row>ANKIB1</th><td>2033</td><td> 2394</td><td> 3963</td><td> 2046</td><td> 4013</td><td> 4695</td><td>1240</td><td> 3258</td><td>37154</td><td> 3918</td><td>⋯</td><td>2642</td><td> 2266</td><td>2151</td><td> 4424</td><td>1823</td><td> 2794</td><td> 4224</td><td> 2438</td><td> 1522</td><td>2949</td></tr>\n",
       "\t<tr><th scope=row>CYP51A1</th><td>  30</td><td>  533</td><td>  340</td><td>  221</td><td>  258</td><td>  764</td><td>  89</td><td>  268</td><td> 3230</td><td>  494</td><td>⋯</td><td> 623</td><td>  142</td><td> 170</td><td>  836</td><td> 218</td><td>  801</td><td>  841</td><td>  564</td><td>  113</td><td> 247</td></tr>\n",
       "\t<tr><th scope=row>KRIT1</th><td>1474</td><td>  928</td><td> 1249</td><td> 1364</td><td> 1651</td><td> 1884</td><td>1175</td><td> 1797</td><td>16307</td><td> 1667</td><td>⋯</td><td>1201</td><td> 1378</td><td>1176</td><td> 2638</td><td>1335</td><td> 1239</td><td> 2773</td><td> 1349</td><td>  846</td><td>1741</td></tr>\n",
       "\t<tr><th scope=row>RAD52</th><td> 956</td><td>  144</td><td>  276</td><td>  313</td><td>  290</td><td>  389</td><td> 170</td><td>  274</td><td>  571</td><td>  398</td><td>⋯</td><td> 258</td><td>  316</td><td> 263</td><td>  335</td><td> 471</td><td>  176</td><td>  594</td><td>  166</td><td>  274</td><td> 534</td></tr>\n",
       "\t<tr><th scope=row>MYH16</th><td>  71</td><td>    5</td><td>   15</td><td>   13</td><td>   57</td><td>   57</td><td>   9</td><td>   26</td><td>  196</td><td>   13</td><td>⋯</td><td>   2</td><td>    8</td><td>  46</td><td>   27</td><td>   7</td><td>    9</td><td>   48</td><td>    4</td><td>    3</td><td>  70</td></tr>\n",
       "\t<tr><th scope=row>BAD</th><td>2176</td><td> 1469</td><td> 1792</td><td> 1454</td><td> 4945</td><td> 2618</td><td>2170</td><td> 2109</td><td> 1465</td><td> 1842</td><td>⋯</td><td> 852</td><td> 2035</td><td>1032</td><td> 1999</td><td> 827</td><td> 1884</td><td> 1740</td><td> 1795</td><td> 1622</td><td> 804</td></tr>\n",
       "\t<tr><th scope=row>LAP3</th><td>1761</td><td>11512</td><td>23733</td><td> 2595</td><td> 6249</td><td>14539</td><td>1664</td><td> 3509</td><td> 4709</td><td> 5298</td><td>⋯</td><td>2942</td><td> 8907</td><td>4001</td><td> 3977</td><td>2302</td><td>14008</td><td> 7817</td><td> 4122</td><td> 2865</td><td>5146</td></tr>\n",
       "\t<tr><th scope=row>CD99</th><td>6575</td><td> 6882</td><td>18744</td><td> 5821</td><td>16307</td><td> 9342</td><td>6421</td><td>23114</td><td>14804</td><td>16179</td><td>⋯</td><td>7883</td><td>21783</td><td>7725</td><td>15481</td><td>7301</td><td>14532</td><td> 3594</td><td>11525</td><td> 8249</td><td>5859</td></tr>\n",
       "\t<tr><th scope=row>HS3ST1</th><td> 364</td><td>  308</td><td>  963</td><td>  688</td><td> 1678</td><td> 1126</td><td> 126</td><td>  332</td><td>  594</td><td> 2212</td><td>⋯</td><td>1398</td><td>  164</td><td> 382</td><td>  598</td><td> 329</td><td>  149</td><td> 1299</td><td> 4190</td><td>  254</td><td> 296</td></tr>\n",
       "\t<tr><th scope=row>AOC1</th><td> 134</td><td>  308</td><td>  547</td><td>  127</td><td>  286</td><td>  102</td><td> 276</td><td>  657</td><td>   24</td><td>  504</td><td>⋯</td><td>  23</td><td>  263</td><td> 427</td><td>  174</td><td>   6</td><td>   23</td><td>  130</td><td> 1465</td><td>   37</td><td>  53</td></tr>\n",
       "\t<tr><th scope=row>WNT16</th><td> 194</td><td>   73</td><td>   19</td><td>    7</td><td>   10</td><td>   26</td><td>  11</td><td>   79</td><td>   16</td><td>   29</td><td>⋯</td><td>  10</td><td>    6</td><td>  19</td><td>   21</td><td>   6</td><td>    7</td><td>   21</td><td>   13</td><td>    2</td><td>   4</td></tr>\n",
       "\t<tr><th scope=row>HECW1</th><td> 116</td><td>  203</td><td>  226</td><td>   19</td><td>  373</td><td>   90</td><td>  16</td><td>  287</td><td>  199</td><td>   22</td><td>⋯</td><td>   9</td><td>  310</td><td>  34</td><td>  361</td><td> 114</td><td>  119</td><td>   46</td><td>   18</td><td>   19</td><td>  24</td></tr>\n",
       "\t<tr><th scope=row>MAD1L1</th><td>1604</td><td> 1181</td><td> 3040</td><td> 1352</td><td> 2962</td><td> 2329</td><td>1668</td><td> 2469</td><td> 4104</td><td> 1446</td><td>⋯</td><td>1101</td><td> 1651</td><td>1071</td><td> 1089</td><td> 894</td><td> 4167</td><td> 2871</td><td> 1811</td><td> 1071</td><td> 982</td></tr>\n",
       "\t<tr><th scope=row>LASP1</th><td>8014</td><td> 8810</td><td>25075</td><td>10776</td><td>24041</td><td>30027</td><td>5905</td><td>16055</td><td>28939</td><td>18402</td><td>⋯</td><td>7013</td><td>11931</td><td>9429</td><td>12703</td><td>4249</td><td>13417</td><td>10069</td><td>11222</td><td> 8014</td><td>8982</td></tr>\n",
       "\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋱</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><th scope=row>CICP14</th><td> 167</td><td> 124</td><td> 143</td><td> 187</td><td>  78</td><td> 206</td><td>  82</td><td>  83</td><td> 126</td><td> 353</td><td>⋯</td><td> 152</td><td> 107</td><td> 151</td><td> 278</td><td> 497</td><td> 130</td><td> 132</td><td> 135</td><td> 114</td><td> 131</td></tr>\n",
       "\t<tr><th scope=row>DNAJB5-DT</th><td>  26</td><td>   4</td><td>   1</td><td>   2</td><td>   2</td><td>   0</td><td>   7</td><td>   1</td><td>   1</td><td>   0</td><td>⋯</td><td>   1</td><td>   2</td><td>   2</td><td>   1</td><td>   3</td><td>   2</td><td>   2</td><td>   1</td><td>   2</td><td>   5</td></tr>\n",
       "\t<tr><th scope=row>SEPSECS-AS1</th><td> 156</td><td>  17</td><td>  53</td><td>  51</td><td>  98</td><td>  53</td><td>  28</td><td>  29</td><td>  42</td><td>  50</td><td>⋯</td><td>  11</td><td>  41</td><td>  14</td><td>  64</td><td>  67</td><td>  13</td><td>  62</td><td>  24</td><td>  18</td><td>  57</td></tr>\n",
       "\t<tr><th scope=row>LINC00895</th><td>  21</td><td>   0</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>⋯</td><td>   0</td><td>   1</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   3</td></tr>\n",
       "\t<tr><th scope=row>LSINCT5</th><td>  10</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   1</td><td>   4</td><td>   0</td><td>   1</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>DBET</th><td>   0</td><td>   1</td><td>   1</td><td>   0</td><td>  12</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>   1</td><td>⋯</td><td>   0</td><td>   1</td><td>   3</td><td>   1</td><td>   6</td><td>   0</td><td>   0</td><td>   0</td><td>  33</td><td>   2</td></tr>\n",
       "\t<tr><th scope=row>DUX4L3</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>SAMD12-AS1</th><td>  10</td><td>  15</td><td>   9</td><td>   5</td><td>   0</td><td>  10</td><td>  18</td><td>   2</td><td>   7</td><td>   5</td><td>⋯</td><td>   4</td><td>   7</td><td>   0</td><td> 111</td><td>   9</td><td>   0</td><td>  57</td><td>  15</td><td>   5</td><td>   3</td></tr>\n",
       "\t<tr><th scope=row>EBLN3P</th><td>2115</td><td>2186</td><td>2953</td><td>3153</td><td>3633</td><td>2914</td><td>1929</td><td>1286</td><td>3460</td><td>3173</td><td>⋯</td><td>1492</td><td>1634</td><td>2726</td><td>4980</td><td>1679</td><td>2132</td><td>2192</td><td>1636</td><td>1912</td><td>1630</td></tr>\n",
       "\t<tr><th scope=row>DUX4L7</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>LINC00538</th><td>   6</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   3</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>RBM5-AS1</th><td>   5</td><td>   4</td><td>   5</td><td>   8</td><td>   4</td><td>   2</td><td>   2</td><td>   0</td><td>   0</td><td>  13</td><td>⋯</td><td>   0</td><td>   3</td><td>   3</td><td>   8</td><td>  10</td><td>   3</td><td>   5</td><td>   5</td><td>   0</td><td>   2</td></tr>\n",
       "\t<tr><th scope=row>PACRG-AS1</th><td>   2</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   2</td><td>   3</td><td>   1</td><td>   2</td><td>   1</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>MIR664A</th><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>ERC2-IT1</th><td>   2</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>DUX4L8</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>LINC01080</th><td>   1</td><td>   0</td><td>   1</td><td>   0</td><td>   8</td><td>   5</td><td>   1</td><td>   2</td><td>   2</td><td>   0</td><td>⋯</td><td>   0</td><td>   2</td><td>   1</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   3</td></tr>\n",
       "\t<tr><th scope=row>METTL14-DT</th><td>  10</td><td>   1</td><td>   0</td><td>   2</td><td>   1</td><td>   1</td><td>   3</td><td>   3</td><td>   0</td><td>   1</td><td>⋯</td><td>   1</td><td>   2</td><td>   2</td><td>   1</td><td>   1</td><td>   1</td><td>   3</td><td>   1</td><td>   3</td><td>   2</td></tr>\n",
       "\t<tr><th scope=row>C2-AS1</th><td>  11</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   7</td><td>   3</td><td>   1</td><td>   2</td><td>⋯</td><td>   0</td><td>   3</td><td>   1</td><td>   1</td><td>   2</td><td>   2</td><td>   4</td><td>   0</td><td>   8</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>LINC01230</th><td>  10</td><td>   0</td><td>   6</td><td>   3</td><td>  18</td><td>   4</td><td>   2</td><td>   0</td><td>   0</td><td>   1</td><td>⋯</td><td>   0</td><td>   3</td><td>   0</td><td>   3</td><td>   5</td><td>   0</td><td>   3</td><td>   1</td><td>   2</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>LINC00550</th><td>   6</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>LINC01394</th><td>   7</td><td>   1</td><td>   4</td><td>   0</td><td>   3</td><td>   1</td><td>   0</td><td>   3</td><td>   0</td><td>   0</td><td>⋯</td><td>   1</td><td>   3</td><td>   0</td><td>   2</td><td>   1</td><td>   2</td><td>   2</td><td>   1</td><td>   0</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>LINC00602</th><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>   2</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>MIR1291</th><td>   2</td><td>   0</td><td>   2</td><td>   0</td><td>   0</td><td>   1</td><td>   1</td><td>   0</td><td>   0</td><td>   4</td><td>⋯</td><td>   2</td><td>   2</td><td>   4</td><td>   0</td><td>   0</td><td>   1</td><td>   1</td><td>   1</td><td>   1</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>LINC00891</th><td>   0</td><td>   2</td><td>   4</td><td>   3</td><td>   2</td><td>   3</td><td>   1</td><td>   1</td><td>   1</td><td>   6</td><td>⋯</td><td>   1</td><td>   3</td><td>   0</td><td>   2</td><td>   2</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>PAUPAR</th><td>   6</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>GIMAP1-GIMAP5</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>⋯</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>LINC02246</th><td>  16</td><td>   6</td><td>  38</td><td>   4</td><td>  15</td><td>  19</td><td>  15</td><td>  19</td><td>  17</td><td>  17</td><td>⋯</td><td>  12</td><td>   1</td><td>  35</td><td>  17</td><td>  16</td><td>   8</td><td>  11</td><td>  12</td><td>   0</td><td>  11</td></tr>\n",
       "\t<tr><th scope=row>HERC2P7</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   1</td><td>   1</td><td>   1</td><td>⋯</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   1</td></tr>\n",
       "\t<tr><th scope=row>LINC01144</th><td> 144</td><td>  23</td><td>  18</td><td>  31</td><td>  24</td><td>  15</td><td>  20</td><td>  23</td><td>  43</td><td>  27</td><td>⋯</td><td>  19</td><td>  46</td><td>  14</td><td>  54</td><td>  38</td><td>  60</td><td>  77</td><td>  19</td><td>  22</td><td>  40</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 38929 × 546\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & TCGA.BB.4224.01A & TCGA.H7.7774.01A & TCGA.CV.6943.01A & TCGA.CN.5374.01A & TCGA.CQ.6227.01A & TCGA.CV.6959.01A & TCGA.F7.A61V.01A & TCGA.CV.7413.01A & TCGA.CV.7247.01A & TCGA.CR.5249.01A & ⋯ & TCGA.CV.6960.11A & TCGA.CV.A464.01A & TCGA.C9.A47Z.01A & TCGA.CN.6010.01A & TCGA.WA.A7GZ.11A & TCGA.CV.7235.01A & TCGA.CX.7086.01A & TCGA.CV.6935.11A & TCGA.P3.A6SW.01A & TCGA.HD.A6HZ.01A\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tTSPAN6 & 2237 &  2740 &  2686 &  2086 & 10167 &  1154 & 1978 &  1930 &  1066 &  2538 & ⋯ & 3340 &   929 & 1707 &  2218 & 2537 &   492 &  2741 &  8492 &   770 &  923\\\\\n",
       "\tTNMD &    2 &     0 &     0 &     1 &     9 &     6 &    1 &     1 &     1 &     0 & ⋯ &    0 &     2 &    0 &     0 &   41 &     0 &     0 &     3 &     1 &    0\\\\\n",
       "\tDPM1 & 1606 &  1691 &  1649 &  2333 &  3021 &  2766 & 1762 &  1668 &  1760 &  1268 & ⋯ & 1388 &  2332 & 1926 &  1574 & 1171 &   976 &  1952 &  1578 &  1569 & 1183\\\\\n",
       "\tSCYL3 & 1063 &   803 &   917 &  1288 &   537 &   527 &  482 &   671 &   600 &  1066 & ⋯ &  608 &   472 &  410 &   852 &  557 &   376 &  1003 &   818 &   620 &  607\\\\\n",
       "\tC1orf112 & 1208 &   317 &   402 &  1105 &   459 &   747 &  331 &   476 &   874 &   950 & ⋯ &  206 &   386 &  210 &   729 &  127 &   363 &  1103 &   281 &   591 &  344\\\\\n",
       "\tFGR &  256 &   330 &  1535 &   639 &   362 &   906 &  147 &   477 &   204 &   924 & ⋯ &  304 &   331 &  134 &   550 &  165 &   488 &   214 &   419 &   462 &  925\\\\\n",
       "\tCFH &  177 &  5472 & 15358 &  5565 &  6963 & 12856 &  793 &  3669 &  2791 &  5289 & ⋯ & 6363 &  7799 & 1264 &  5558 & 4651 &  5178 &  1809 &  7368 &  2082 & 2482\\\\\n",
       "\tFUCA2 & 2371 &  2316 &  3490 &  2065 &  4883 &  6120 & 2364 &  3366 &  1837 &  2584 & ⋯ & 1242 &  3028 & 1356 &  2921 &  647 &  2138 &  2639 &  1355 &  1603 & 1769\\\\\n",
       "\tGCLC & 2741 &  8370 &  4671 &  2902 &  3140 &  7448 & 2827 &  2324 &  9779 &  2971 & ⋯ & 2100 &  2494 & 3710 &  8749 & 3029 & 20007 & 13623 &  2276 & 31675 & 3949\\\\\n",
       "\tNFYA & 2515 &   816 &  2080 &  1777 &  2448 &  3527 & 1159 &  1459 &  1916 &  2572 & ⋯ & 1369 &  1711 & 1671 &  1596 &  848 &  4131 &  2530 &  1583 &  1473 &  899\\\\\n",
       "\tSTPG1 & 1273 &   455 &   686 &   504 &  1730 &   975 & 1237 &  1624 &   931 &   746 & ⋯ &  666 &   972 &  611 &  1434 &  303 &   411 &  1662 &   619 &   534 &  956\\\\\n",
       "\tNIPAL3 & 1036 &  2173 &  2877 &  2530 &  4127 &  3187 & 1369 &  2721 &  3503 &  4140 & ⋯ & 2467 &  2771 & 1106 &  5552 & 2067 &   948 &  3134 &  2994 &  1441 & 1009\\\\\n",
       "\tLAS1L & 4205 &  2281 &  3950 &  2812 &  1656 &  3916 & 2318 &  2881 &  4760 &  2434 & ⋯ & 1974 &  2010 & 2556 &  3471 & 1060 &  4242 &  2017 &  2516 &  1597 & 2057\\\\\n",
       "\tENPP4 &   36 &    71 &   352 &   542 &   364 &   305 &   88 &    29 &   305 &   407 & ⋯ &  116 &   108 &   30 &   484 & 1045 &    84 &   359 &   282 &    95 &  166\\\\\n",
       "\tSEMA3F & 5270 & 14807 & 10608 & 10675 &  9176 &  6871 & 3595 &  6713 &  4538 & 14983 & ⋯ & 9900 &  5209 & 8838 &  6240 & 4345 &  5266 &  4678 & 14400 &  7338 & 3311\\\\\n",
       "\tCFTR &   22 &    51 &     2 &    10 &     0 &     2 &  214 &    14 &     6 &   109 & ⋯ &  261 &     0 &    1 &   313 &  119 &     2 &    23 &   316 &     1 &    4\\\\\n",
       "\tANKIB1 & 2033 &  2394 &  3963 &  2046 &  4013 &  4695 & 1240 &  3258 & 37154 &  3918 & ⋯ & 2642 &  2266 & 2151 &  4424 & 1823 &  2794 &  4224 &  2438 &  1522 & 2949\\\\\n",
       "\tCYP51A1 &   30 &   533 &   340 &   221 &   258 &   764 &   89 &   268 &  3230 &   494 & ⋯ &  623 &   142 &  170 &   836 &  218 &   801 &   841 &   564 &   113 &  247\\\\\n",
       "\tKRIT1 & 1474 &   928 &  1249 &  1364 &  1651 &  1884 & 1175 &  1797 & 16307 &  1667 & ⋯ & 1201 &  1378 & 1176 &  2638 & 1335 &  1239 &  2773 &  1349 &   846 & 1741\\\\\n",
       "\tRAD52 &  956 &   144 &   276 &   313 &   290 &   389 &  170 &   274 &   571 &   398 & ⋯ &  258 &   316 &  263 &   335 &  471 &   176 &   594 &   166 &   274 &  534\\\\\n",
       "\tMYH16 &   71 &     5 &    15 &    13 &    57 &    57 &    9 &    26 &   196 &    13 & ⋯ &    2 &     8 &   46 &    27 &    7 &     9 &    48 &     4 &     3 &   70\\\\\n",
       "\tBAD & 2176 &  1469 &  1792 &  1454 &  4945 &  2618 & 2170 &  2109 &  1465 &  1842 & ⋯ &  852 &  2035 & 1032 &  1999 &  827 &  1884 &  1740 &  1795 &  1622 &  804\\\\\n",
       "\tLAP3 & 1761 & 11512 & 23733 &  2595 &  6249 & 14539 & 1664 &  3509 &  4709 &  5298 & ⋯ & 2942 &  8907 & 4001 &  3977 & 2302 & 14008 &  7817 &  4122 &  2865 & 5146\\\\\n",
       "\tCD99 & 6575 &  6882 & 18744 &  5821 & 16307 &  9342 & 6421 & 23114 & 14804 & 16179 & ⋯ & 7883 & 21783 & 7725 & 15481 & 7301 & 14532 &  3594 & 11525 &  8249 & 5859\\\\\n",
       "\tHS3ST1 &  364 &   308 &   963 &   688 &  1678 &  1126 &  126 &   332 &   594 &  2212 & ⋯ & 1398 &   164 &  382 &   598 &  329 &   149 &  1299 &  4190 &   254 &  296\\\\\n",
       "\tAOC1 &  134 &   308 &   547 &   127 &   286 &   102 &  276 &   657 &    24 &   504 & ⋯ &   23 &   263 &  427 &   174 &    6 &    23 &   130 &  1465 &    37 &   53\\\\\n",
       "\tWNT16 &  194 &    73 &    19 &     7 &    10 &    26 &   11 &    79 &    16 &    29 & ⋯ &   10 &     6 &   19 &    21 &    6 &     7 &    21 &    13 &     2 &    4\\\\\n",
       "\tHECW1 &  116 &   203 &   226 &    19 &   373 &    90 &   16 &   287 &   199 &    22 & ⋯ &    9 &   310 &   34 &   361 &  114 &   119 &    46 &    18 &    19 &   24\\\\\n",
       "\tMAD1L1 & 1604 &  1181 &  3040 &  1352 &  2962 &  2329 & 1668 &  2469 &  4104 &  1446 & ⋯ & 1101 &  1651 & 1071 &  1089 &  894 &  4167 &  2871 &  1811 &  1071 &  982\\\\\n",
       "\tLASP1 & 8014 &  8810 & 25075 & 10776 & 24041 & 30027 & 5905 & 16055 & 28939 & 18402 & ⋯ & 7013 & 11931 & 9429 & 12703 & 4249 & 13417 & 10069 & 11222 &  8014 & 8982\\\\\n",
       "\t⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\tCICP14 &  167 &  124 &  143 &  187 &   78 &  206 &   82 &   83 &  126 &  353 & ⋯ &  152 &  107 &  151 &  278 &  497 &  130 &  132 &  135 &  114 &  131\\\\\n",
       "\tDNAJB5-DT &   26 &    4 &    1 &    2 &    2 &    0 &    7 &    1 &    1 &    0 & ⋯ &    1 &    2 &    2 &    1 &    3 &    2 &    2 &    1 &    2 &    5\\\\\n",
       "\tSEPSECS-AS1 &  156 &   17 &   53 &   51 &   98 &   53 &   28 &   29 &   42 &   50 & ⋯ &   11 &   41 &   14 &   64 &   67 &   13 &   62 &   24 &   18 &   57\\\\\n",
       "\tLINC00895 &   21 &    0 &    0 &    2 &    0 &    0 &    0 &    0 &    1 &    0 & ⋯ &    0 &    1 &    0 &    1 &    0 &    0 &    1 &    0 &    0 &    3\\\\\n",
       "\tLSINCT5 &   10 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 & ⋯ &    0 &    0 &    0 &    1 &    0 &    1 &    4 &    0 &    1 &    1\\\\\n",
       "\tDBET &    0 &    1 &    1 &    0 &   12 &    0 &    2 &    0 &    0 &    1 & ⋯ &    0 &    1 &    3 &    1 &    6 &    0 &    0 &    0 &   33 &    2\\\\\n",
       "\tDUX4L3 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tSAMD12-AS1 &   10 &   15 &    9 &    5 &    0 &   10 &   18 &    2 &    7 &    5 & ⋯ &    4 &    7 &    0 &  111 &    9 &    0 &   57 &   15 &    5 &    3\\\\\n",
       "\tEBLN3P & 2115 & 2186 & 2953 & 3153 & 3633 & 2914 & 1929 & 1286 & 3460 & 3173 & ⋯ & 1492 & 1634 & 2726 & 4980 & 1679 & 2132 & 2192 & 1636 & 1912 & 1630\\\\\n",
       "\tDUX4L7 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tLINC00538 &    6 &    0 &    1 &    0 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    3 &    1 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tRBM5-AS1 &    5 &    4 &    5 &    8 &    4 &    2 &    2 &    0 &    0 &   13 & ⋯ &    0 &    3 &    3 &    8 &   10 &    3 &    5 &    5 &    0 &    2\\\\\n",
       "\tPACRG-AS1 &    2 &    0 &    0 &    0 &    0 &    1 &    0 &    2 &    0 &    0 & ⋯ &    0 &    0 &    0 &    2 &    3 &    1 &    2 &    1 &    0 &    0\\\\\n",
       "\tMIR664A &    0 &    0 &    0 &    1 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tERC2-IT1 &    2 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    0 &    1 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    1\\\\\n",
       "\tDUX4L8 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tLINC01080 &    1 &    0 &    1 &    0 &    8 &    5 &    1 &    2 &    2 &    0 & ⋯ &    0 &    2 &    1 &    1 &    0 &    0 &    0 &    0 &    0 &    3\\\\\n",
       "\tMETTL14-DT &   10 &    1 &    0 &    2 &    1 &    1 &    3 &    3 &    0 &    1 & ⋯ &    1 &    2 &    2 &    1 &    1 &    1 &    3 &    1 &    3 &    2\\\\\n",
       "\tC2-AS1 &   11 &    0 &    1 &    0 &    0 &    0 &    7 &    3 &    1 &    2 & ⋯ &    0 &    3 &    1 &    1 &    2 &    2 &    4 &    0 &    8 &    1\\\\\n",
       "\tLINC01230 &   10 &    0 &    6 &    3 &   18 &    4 &    2 &    0 &    0 &    1 & ⋯ &    0 &    3 &    0 &    3 &    5 &    0 &    3 &    1 &    2 &    1\\\\\n",
       "\tLINC00550 &    6 &    0 &    0 &    0 &    1 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    2 &    0 &    0 &    0\\\\\n",
       "\tLINC01394 &    7 &    1 &    4 &    0 &    3 &    1 &    0 &    3 &    0 &    0 & ⋯ &    1 &    3 &    0 &    2 &    1 &    2 &    2 &    1 &    0 &    1\\\\\n",
       "\tLINC00602 &    0 &    0 &    0 &    1 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    1 &    0 &    0 &    0 &    2 &    0 &    0 &    2 &    0\\\\\n",
       "\tMIR1291 &    2 &    0 &    2 &    0 &    0 &    1 &    1 &    0 &    0 &    4 & ⋯ &    2 &    2 &    4 &    0 &    0 &    1 &    1 &    1 &    1 &    0\\\\\n",
       "\tLINC00891 &    0 &    2 &    4 &    3 &    2 &    3 &    1 &    1 &    1 &    6 & ⋯ &    1 &    3 &    0 &    2 &    2 &    0 &    0 &    0 &    1 &    1\\\\\n",
       "\tPAUPAR &    6 &    0 &    1 &    0 &    0 &    1 &    0 &    0 &    0 &    0 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    0\\\\\n",
       "\tGIMAP1-GIMAP5 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 & ⋯ &    0 &    1 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tLINC02246 &   16 &    6 &   38 &    4 &   15 &   19 &   15 &   19 &   17 &   17 & ⋯ &   12 &    1 &   35 &   17 &   16 &    8 &   11 &   12 &    0 &   11\\\\\n",
       "\tHERC2P7 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    1 &    1 &    1 & ⋯ &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    1\\\\\n",
       "\tLINC01144 &  144 &   23 &   18 &   31 &   24 &   15 &   20 &   23 &   43 &   27 & ⋯ &   19 &   46 &   14 &   54 &   38 &   60 &   77 &   19 &   22 &   40\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 38929 × 546\n",
       "\n",
       "| <!--/--> | TCGA.BB.4224.01A &lt;dbl&gt; | TCGA.H7.7774.01A &lt;dbl&gt; | TCGA.CV.6943.01A &lt;dbl&gt; | TCGA.CN.5374.01A &lt;dbl&gt; | TCGA.CQ.6227.01A &lt;dbl&gt; | TCGA.CV.6959.01A &lt;dbl&gt; | TCGA.F7.A61V.01A &lt;dbl&gt; | TCGA.CV.7413.01A &lt;dbl&gt; | TCGA.CV.7247.01A &lt;dbl&gt; | TCGA.CR.5249.01A &lt;dbl&gt; | ⋯ ⋯ | TCGA.CV.6960.11A &lt;dbl&gt; | TCGA.CV.A464.01A &lt;dbl&gt; | TCGA.C9.A47Z.01A &lt;dbl&gt; | TCGA.CN.6010.01A &lt;dbl&gt; | TCGA.WA.A7GZ.11A &lt;dbl&gt; | TCGA.CV.7235.01A &lt;dbl&gt; | TCGA.CX.7086.01A &lt;dbl&gt; | TCGA.CV.6935.11A &lt;dbl&gt; | TCGA.P3.A6SW.01A &lt;dbl&gt; | TCGA.HD.A6HZ.01A &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| TSPAN6 | 2237 |  2740 |  2686 |  2086 | 10167 |  1154 | 1978 |  1930 |  1066 |  2538 | ⋯ | 3340 |   929 | 1707 |  2218 | 2537 |   492 |  2741 |  8492 |   770 |  923 |\n",
       "| TNMD |    2 |     0 |     0 |     1 |     9 |     6 |    1 |     1 |     1 |     0 | ⋯ |    0 |     2 |    0 |     0 |   41 |     0 |     0 |     3 |     1 |    0 |\n",
       "| DPM1 | 1606 |  1691 |  1649 |  2333 |  3021 |  2766 | 1762 |  1668 |  1760 |  1268 | ⋯ | 1388 |  2332 | 1926 |  1574 | 1171 |   976 |  1952 |  1578 |  1569 | 1183 |\n",
       "| SCYL3 | 1063 |   803 |   917 |  1288 |   537 |   527 |  482 |   671 |   600 |  1066 | ⋯ |  608 |   472 |  410 |   852 |  557 |   376 |  1003 |   818 |   620 |  607 |\n",
       "| C1orf112 | 1208 |   317 |   402 |  1105 |   459 |   747 |  331 |   476 |   874 |   950 | ⋯ |  206 |   386 |  210 |   729 |  127 |   363 |  1103 |   281 |   591 |  344 |\n",
       "| FGR |  256 |   330 |  1535 |   639 |   362 |   906 |  147 |   477 |   204 |   924 | ⋯ |  304 |   331 |  134 |   550 |  165 |   488 |   214 |   419 |   462 |  925 |\n",
       "| CFH |  177 |  5472 | 15358 |  5565 |  6963 | 12856 |  793 |  3669 |  2791 |  5289 | ⋯ | 6363 |  7799 | 1264 |  5558 | 4651 |  5178 |  1809 |  7368 |  2082 | 2482 |\n",
       "| FUCA2 | 2371 |  2316 |  3490 |  2065 |  4883 |  6120 | 2364 |  3366 |  1837 |  2584 | ⋯ | 1242 |  3028 | 1356 |  2921 |  647 |  2138 |  2639 |  1355 |  1603 | 1769 |\n",
       "| GCLC | 2741 |  8370 |  4671 |  2902 |  3140 |  7448 | 2827 |  2324 |  9779 |  2971 | ⋯ | 2100 |  2494 | 3710 |  8749 | 3029 | 20007 | 13623 |  2276 | 31675 | 3949 |\n",
       "| NFYA | 2515 |   816 |  2080 |  1777 |  2448 |  3527 | 1159 |  1459 |  1916 |  2572 | ⋯ | 1369 |  1711 | 1671 |  1596 |  848 |  4131 |  2530 |  1583 |  1473 |  899 |\n",
       "| STPG1 | 1273 |   455 |   686 |   504 |  1730 |   975 | 1237 |  1624 |   931 |   746 | ⋯ |  666 |   972 |  611 |  1434 |  303 |   411 |  1662 |   619 |   534 |  956 |\n",
       "| NIPAL3 | 1036 |  2173 |  2877 |  2530 |  4127 |  3187 | 1369 |  2721 |  3503 |  4140 | ⋯ | 2467 |  2771 | 1106 |  5552 | 2067 |   948 |  3134 |  2994 |  1441 | 1009 |\n",
       "| LAS1L | 4205 |  2281 |  3950 |  2812 |  1656 |  3916 | 2318 |  2881 |  4760 |  2434 | ⋯ | 1974 |  2010 | 2556 |  3471 | 1060 |  4242 |  2017 |  2516 |  1597 | 2057 |\n",
       "| ENPP4 |   36 |    71 |   352 |   542 |   364 |   305 |   88 |    29 |   305 |   407 | ⋯ |  116 |   108 |   30 |   484 | 1045 |    84 |   359 |   282 |    95 |  166 |\n",
       "| SEMA3F | 5270 | 14807 | 10608 | 10675 |  9176 |  6871 | 3595 |  6713 |  4538 | 14983 | ⋯ | 9900 |  5209 | 8838 |  6240 | 4345 |  5266 |  4678 | 14400 |  7338 | 3311 |\n",
       "| CFTR |   22 |    51 |     2 |    10 |     0 |     2 |  214 |    14 |     6 |   109 | ⋯ |  261 |     0 |    1 |   313 |  119 |     2 |    23 |   316 |     1 |    4 |\n",
       "| ANKIB1 | 2033 |  2394 |  3963 |  2046 |  4013 |  4695 | 1240 |  3258 | 37154 |  3918 | ⋯ | 2642 |  2266 | 2151 |  4424 | 1823 |  2794 |  4224 |  2438 |  1522 | 2949 |\n",
       "| CYP51A1 |   30 |   533 |   340 |   221 |   258 |   764 |   89 |   268 |  3230 |   494 | ⋯ |  623 |   142 |  170 |   836 |  218 |   801 |   841 |   564 |   113 |  247 |\n",
       "| KRIT1 | 1474 |   928 |  1249 |  1364 |  1651 |  1884 | 1175 |  1797 | 16307 |  1667 | ⋯ | 1201 |  1378 | 1176 |  2638 | 1335 |  1239 |  2773 |  1349 |   846 | 1741 |\n",
       "| RAD52 |  956 |   144 |   276 |   313 |   290 |   389 |  170 |   274 |   571 |   398 | ⋯ |  258 |   316 |  263 |   335 |  471 |   176 |   594 |   166 |   274 |  534 |\n",
       "| MYH16 |   71 |     5 |    15 |    13 |    57 |    57 |    9 |    26 |   196 |    13 | ⋯ |    2 |     8 |   46 |    27 |    7 |     9 |    48 |     4 |     3 |   70 |\n",
       "| BAD | 2176 |  1469 |  1792 |  1454 |  4945 |  2618 | 2170 |  2109 |  1465 |  1842 | ⋯ |  852 |  2035 | 1032 |  1999 |  827 |  1884 |  1740 |  1795 |  1622 |  804 |\n",
       "| LAP3 | 1761 | 11512 | 23733 |  2595 |  6249 | 14539 | 1664 |  3509 |  4709 |  5298 | ⋯ | 2942 |  8907 | 4001 |  3977 | 2302 | 14008 |  7817 |  4122 |  2865 | 5146 |\n",
       "| CD99 | 6575 |  6882 | 18744 |  5821 | 16307 |  9342 | 6421 | 23114 | 14804 | 16179 | ⋯ | 7883 | 21783 | 7725 | 15481 | 7301 | 14532 |  3594 | 11525 |  8249 | 5859 |\n",
       "| HS3ST1 |  364 |   308 |   963 |   688 |  1678 |  1126 |  126 |   332 |   594 |  2212 | ⋯ | 1398 |   164 |  382 |   598 |  329 |   149 |  1299 |  4190 |   254 |  296 |\n",
       "| AOC1 |  134 |   308 |   547 |   127 |   286 |   102 |  276 |   657 |    24 |   504 | ⋯ |   23 |   263 |  427 |   174 |    6 |    23 |   130 |  1465 |    37 |   53 |\n",
       "| WNT16 |  194 |    73 |    19 |     7 |    10 |    26 |   11 |    79 |    16 |    29 | ⋯ |   10 |     6 |   19 |    21 |    6 |     7 |    21 |    13 |     2 |    4 |\n",
       "| HECW1 |  116 |   203 |   226 |    19 |   373 |    90 |   16 |   287 |   199 |    22 | ⋯ |    9 |   310 |   34 |   361 |  114 |   119 |    46 |    18 |    19 |   24 |\n",
       "| MAD1L1 | 1604 |  1181 |  3040 |  1352 |  2962 |  2329 | 1668 |  2469 |  4104 |  1446 | ⋯ | 1101 |  1651 | 1071 |  1089 |  894 |  4167 |  2871 |  1811 |  1071 |  982 |\n",
       "| LASP1 | 8014 |  8810 | 25075 | 10776 | 24041 | 30027 | 5905 | 16055 | 28939 | 18402 | ⋯ | 7013 | 11931 | 9429 | 12703 | 4249 | 13417 | 10069 | 11222 |  8014 | 8982 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| CICP14 |  167 |  124 |  143 |  187 |   78 |  206 |   82 |   83 |  126 |  353 | ⋯ |  152 |  107 |  151 |  278 |  497 |  130 |  132 |  135 |  114 |  131 |\n",
       "| DNAJB5-DT |   26 |    4 |    1 |    2 |    2 |    0 |    7 |    1 |    1 |    0 | ⋯ |    1 |    2 |    2 |    1 |    3 |    2 |    2 |    1 |    2 |    5 |\n",
       "| SEPSECS-AS1 |  156 |   17 |   53 |   51 |   98 |   53 |   28 |   29 |   42 |   50 | ⋯ |   11 |   41 |   14 |   64 |   67 |   13 |   62 |   24 |   18 |   57 |\n",
       "| LINC00895 |   21 |    0 |    0 |    2 |    0 |    0 |    0 |    0 |    1 |    0 | ⋯ |    0 |    1 |    0 |    1 |    0 |    0 |    1 |    0 |    0 |    3 |\n",
       "| LSINCT5 |   10 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 | ⋯ |    0 |    0 |    0 |    1 |    0 |    1 |    4 |    0 |    1 |    1 |\n",
       "| DBET |    0 |    1 |    1 |    0 |   12 |    0 |    2 |    0 |    0 |    1 | ⋯ |    0 |    1 |    3 |    1 |    6 |    0 |    0 |    0 |   33 |    2 |\n",
       "| DUX4L3 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| SAMD12-AS1 |   10 |   15 |    9 |    5 |    0 |   10 |   18 |    2 |    7 |    5 | ⋯ |    4 |    7 |    0 |  111 |    9 |    0 |   57 |   15 |    5 |    3 |\n",
       "| EBLN3P | 2115 | 2186 | 2953 | 3153 | 3633 | 2914 | 1929 | 1286 | 3460 | 3173 | ⋯ | 1492 | 1634 | 2726 | 4980 | 1679 | 2132 | 2192 | 1636 | 1912 | 1630 |\n",
       "| DUX4L7 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| LINC00538 |    6 |    0 |    1 |    0 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    3 |    1 |    0 |    0 |    0 |    0 |    0 |\n",
       "| RBM5-AS1 |    5 |    4 |    5 |    8 |    4 |    2 |    2 |    0 |    0 |   13 | ⋯ |    0 |    3 |    3 |    8 |   10 |    3 |    5 |    5 |    0 |    2 |\n",
       "| PACRG-AS1 |    2 |    0 |    0 |    0 |    0 |    1 |    0 |    2 |    0 |    0 | ⋯ |    0 |    0 |    0 |    2 |    3 |    1 |    2 |    1 |    0 |    0 |\n",
       "| MIR664A |    0 |    0 |    0 |    1 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| ERC2-IT1 |    2 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |    1 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |\n",
       "| DUX4L8 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| LINC01080 |    1 |    0 |    1 |    0 |    8 |    5 |    1 |    2 |    2 |    0 | ⋯ |    0 |    2 |    1 |    1 |    0 |    0 |    0 |    0 |    0 |    3 |\n",
       "| METTL14-DT |   10 |    1 |    0 |    2 |    1 |    1 |    3 |    3 |    0 |    1 | ⋯ |    1 |    2 |    2 |    1 |    1 |    1 |    3 |    1 |    3 |    2 |\n",
       "| C2-AS1 |   11 |    0 |    1 |    0 |    0 |    0 |    7 |    3 |    1 |    2 | ⋯ |    0 |    3 |    1 |    1 |    2 |    2 |    4 |    0 |    8 |    1 |\n",
       "| LINC01230 |   10 |    0 |    6 |    3 |   18 |    4 |    2 |    0 |    0 |    1 | ⋯ |    0 |    3 |    0 |    3 |    5 |    0 |    3 |    1 |    2 |    1 |\n",
       "| LINC00550 |    6 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    2 |    0 |    0 |    0 |\n",
       "| LINC01394 |    7 |    1 |    4 |    0 |    3 |    1 |    0 |    3 |    0 |    0 | ⋯ |    1 |    3 |    0 |    2 |    1 |    2 |    2 |    1 |    0 |    1 |\n",
       "| LINC00602 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    1 |    0 |    0 |    0 |    2 |    0 |    0 |    2 |    0 |\n",
       "| MIR1291 |    2 |    0 |    2 |    0 |    0 |    1 |    1 |    0 |    0 |    4 | ⋯ |    2 |    2 |    4 |    0 |    0 |    1 |    1 |    1 |    1 |    0 |\n",
       "| LINC00891 |    0 |    2 |    4 |    3 |    2 |    3 |    1 |    1 |    1 |    6 | ⋯ |    1 |    3 |    0 |    2 |    2 |    0 |    0 |    0 |    1 |    1 |\n",
       "| PAUPAR |    6 |    0 |    1 |    0 |    0 |    1 |    0 |    0 |    0 |    0 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |\n",
       "| GIMAP1-GIMAP5 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 | ⋯ |    0 |    1 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| LINC02246 |   16 |    6 |   38 |    4 |   15 |   19 |   15 |   19 |   17 |   17 | ⋯ |   12 |    1 |   35 |   17 |   16 |    8 |   11 |   12 |    0 |   11 |\n",
       "| HERC2P7 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    1 |    1 |    1 | ⋯ |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    1 |\n",
       "| LINC01144 |  144 |   23 |   18 |   31 |   24 |   15 |   20 |   23 |   43 |   27 | ⋯ |   19 |   46 |   14 |   54 |   38 |   60 |   77 |   19 |   22 |   40 |\n",
       "\n"
      ],
      "text/plain": [
       "              TCGA.BB.4224.01A TCGA.H7.7774.01A TCGA.CV.6943.01A\n",
       "TSPAN6        2237              2740             2686           \n",
       "TNMD             2                 0                0           \n",
       "DPM1          1606              1691             1649           \n",
       "SCYL3         1063               803              917           \n",
       "C1orf112      1208               317              402           \n",
       "FGR            256               330             1535           \n",
       "CFH            177              5472            15358           \n",
       "FUCA2         2371              2316             3490           \n",
       "GCLC          2741              8370             4671           \n",
       "NFYA          2515               816             2080           \n",
       "STPG1         1273               455              686           \n",
       "NIPAL3        1036              2173             2877           \n",
       "LAS1L         4205              2281             3950           \n",
       "ENPP4           36                71              352           \n",
       "SEMA3F        5270             14807            10608           \n",
       "CFTR            22                51                2           \n",
       "ANKIB1        2033              2394             3963           \n",
       "CYP51A1         30               533              340           \n",
       "KRIT1         1474               928             1249           \n",
       "RAD52          956               144              276           \n",
       "MYH16           71                 5               15           \n",
       "BAD           2176              1469             1792           \n",
       "LAP3          1761             11512            23733           \n",
       "CD99          6575              6882            18744           \n",
       "HS3ST1         364               308              963           \n",
       "AOC1           134               308              547           \n",
       "WNT16          194                73               19           \n",
       "HECW1          116               203              226           \n",
       "MAD1L1        1604              1181             3040           \n",
       "LASP1         8014              8810            25075           \n",
       "⋮             ⋮                ⋮                ⋮               \n",
       "CICP14         167              124              143            \n",
       "DNAJB5-DT       26                4                1            \n",
       "SEPSECS-AS1    156               17               53            \n",
       "LINC00895       21                0                0            \n",
       "LSINCT5         10                0                0            \n",
       "DBET             0                1                1            \n",
       "DUX4L3           0                0                0            \n",
       "SAMD12-AS1      10               15                9            \n",
       "EBLN3P        2115             2186             2953            \n",
       "DUX4L7           0                0                0            \n",
       "LINC00538        6                0                1            \n",
       "RBM5-AS1         5                4                5            \n",
       "PACRG-AS1        2                0                0            \n",
       "MIR664A          0                0                0            \n",
       "ERC2-IT1         2                0                0            \n",
       "DUX4L8           0                0                0            \n",
       "LINC01080        1                0                1            \n",
       "METTL14-DT      10                1                0            \n",
       "C2-AS1          11                0                1            \n",
       "LINC01230       10                0                6            \n",
       "LINC00550        6                0                0            \n",
       "LINC01394        7                1                4            \n",
       "LINC00602        0                0                0            \n",
       "MIR1291          2                0                2            \n",
       "LINC00891        0                2                4            \n",
       "PAUPAR           6                0                1            \n",
       "GIMAP1-GIMAP5    0                0                0            \n",
       "LINC02246       16                6               38            \n",
       "HERC2P7          0                0                0            \n",
       "LINC01144      144               23               18            \n",
       "              TCGA.CN.5374.01A TCGA.CQ.6227.01A TCGA.CV.6959.01A\n",
       "TSPAN6         2086            10167             1154           \n",
       "TNMD              1                9                6           \n",
       "DPM1           2333             3021             2766           \n",
       "SCYL3          1288              537              527           \n",
       "C1orf112       1105              459              747           \n",
       "FGR             639              362              906           \n",
       "CFH            5565             6963            12856           \n",
       "FUCA2          2065             4883             6120           \n",
       "GCLC           2902             3140             7448           \n",
       "NFYA           1777             2448             3527           \n",
       "STPG1           504             1730              975           \n",
       "NIPAL3         2530             4127             3187           \n",
       "LAS1L          2812             1656             3916           \n",
       "ENPP4           542              364              305           \n",
       "SEMA3F        10675             9176             6871           \n",
       "CFTR             10                0                2           \n",
       "ANKIB1         2046             4013             4695           \n",
       "CYP51A1         221              258              764           \n",
       "KRIT1          1364             1651             1884           \n",
       "RAD52           313              290              389           \n",
       "MYH16            13               57               57           \n",
       "BAD            1454             4945             2618           \n",
       "LAP3           2595             6249            14539           \n",
       "CD99           5821            16307             9342           \n",
       "HS3ST1          688             1678             1126           \n",
       "AOC1            127              286              102           \n",
       "WNT16             7               10               26           \n",
       "HECW1            19              373               90           \n",
       "MAD1L1         1352             2962             2329           \n",
       "LASP1         10776            24041            30027           \n",
       "⋮             ⋮                ⋮                ⋮               \n",
       "CICP14         187               78              206            \n",
       "DNAJB5-DT        2                2                0            \n",
       "SEPSECS-AS1     51               98               53            \n",
       "LINC00895        2                0                0            \n",
       "LSINCT5          0                0                0            \n",
       "DBET             0               12                0            \n",
       "DUX4L3           0                0                0            \n",
       "SAMD12-AS1       5                0               10            \n",
       "EBLN3P        3153             3633             2914            \n",
       "DUX4L7           0                0                0            \n",
       "LINC00538        0                0                0            \n",
       "RBM5-AS1         8                4                2            \n",
       "PACRG-AS1        0                0                1            \n",
       "MIR664A          1                0                0            \n",
       "ERC2-IT1         0                0                1            \n",
       "DUX4L8           0                0                0            \n",
       "LINC01080        0                8                5            \n",
       "METTL14-DT       2                1                1            \n",
       "C2-AS1           0                0                0            \n",
       "LINC01230        3               18                4            \n",
       "LINC00550        0                1                0            \n",
       "LINC01394        0                3                1            \n",
       "LINC00602        1                0                0            \n",
       "MIR1291          0                0                1            \n",
       "LINC00891        3                2                3            \n",
       "PAUPAR           0                0                1            \n",
       "GIMAP1-GIMAP5    0                0                0            \n",
       "LINC02246        4               15               19            \n",
       "HERC2P7          0                0                1            \n",
       "LINC01144       31               24               15            \n",
       "              TCGA.F7.A61V.01A TCGA.CV.7413.01A TCGA.CV.7247.01A\n",
       "TSPAN6        1978              1930             1066           \n",
       "TNMD             1                 1                1           \n",
       "DPM1          1762              1668             1760           \n",
       "SCYL3          482               671              600           \n",
       "C1orf112       331               476              874           \n",
       "FGR            147               477              204           \n",
       "CFH            793              3669             2791           \n",
       "FUCA2         2364              3366             1837           \n",
       "GCLC          2827              2324             9779           \n",
       "NFYA          1159              1459             1916           \n",
       "STPG1         1237              1624              931           \n",
       "NIPAL3        1369              2721             3503           \n",
       "LAS1L         2318              2881             4760           \n",
       "ENPP4           88                29              305           \n",
       "SEMA3F        3595              6713             4538           \n",
       "CFTR           214                14                6           \n",
       "ANKIB1        1240              3258            37154           \n",
       "CYP51A1         89               268             3230           \n",
       "KRIT1         1175              1797            16307           \n",
       "RAD52          170               274              571           \n",
       "MYH16            9                26              196           \n",
       "BAD           2170              2109             1465           \n",
       "LAP3          1664              3509             4709           \n",
       "CD99          6421             23114            14804           \n",
       "HS3ST1         126               332              594           \n",
       "AOC1           276               657               24           \n",
       "WNT16           11                79               16           \n",
       "HECW1           16               287              199           \n",
       "MAD1L1        1668              2469             4104           \n",
       "LASP1         5905             16055            28939           \n",
       "⋮             ⋮                ⋮                ⋮               \n",
       "CICP14          82               83              126            \n",
       "DNAJB5-DT        7                1                1            \n",
       "SEPSECS-AS1     28               29               42            \n",
       "LINC00895        0                0                1            \n",
       "LSINCT5          0                1                0            \n",
       "DBET             2                0                0            \n",
       "DUX4L3           0                0                0            \n",
       "SAMD12-AS1      18                2                7            \n",
       "EBLN3P        1929             1286             3460            \n",
       "DUX4L7           0                0                0            \n",
       "LINC00538        0                0                0            \n",
       "RBM5-AS1         2                0                0            \n",
       "PACRG-AS1        0                2                0            \n",
       "MIR664A          0                0                0            \n",
       "ERC2-IT1         0                0                0            \n",
       "DUX4L8           0                0                0            \n",
       "LINC01080        1                2                2            \n",
       "METTL14-DT       3                3                0            \n",
       "C2-AS1           7                3                1            \n",
       "LINC01230        2                0                0            \n",
       "LINC00550        0                0                0            \n",
       "LINC01394        0                3                0            \n",
       "LINC00602        0                0                0            \n",
       "MIR1291          1                0                0            \n",
       "LINC00891        1                1                1            \n",
       "PAUPAR           0                0                0            \n",
       "GIMAP1-GIMAP5    0                0                0            \n",
       "LINC02246       15               19               17            \n",
       "HERC2P7          0                1                1            \n",
       "LINC01144       20               23               43            \n",
       "              TCGA.CR.5249.01A ⋯ TCGA.CV.6960.11A TCGA.CV.A464.01A\n",
       "TSPAN6         2538            ⋯ 3340               929           \n",
       "TNMD              0            ⋯    0                 2           \n",
       "DPM1           1268            ⋯ 1388              2332           \n",
       "SCYL3          1066            ⋯  608               472           \n",
       "C1orf112        950            ⋯  206               386           \n",
       "FGR             924            ⋯  304               331           \n",
       "CFH            5289            ⋯ 6363              7799           \n",
       "FUCA2          2584            ⋯ 1242              3028           \n",
       "GCLC           2971            ⋯ 2100              2494           \n",
       "NFYA           2572            ⋯ 1369              1711           \n",
       "STPG1           746            ⋯  666               972           \n",
       "NIPAL3         4140            ⋯ 2467              2771           \n",
       "LAS1L          2434            ⋯ 1974              2010           \n",
       "ENPP4           407            ⋯  116               108           \n",
       "SEMA3F        14983            ⋯ 9900              5209           \n",
       "CFTR            109            ⋯  261                 0           \n",
       "ANKIB1         3918            ⋯ 2642              2266           \n",
       "CYP51A1         494            ⋯  623               142           \n",
       "KRIT1          1667            ⋯ 1201              1378           \n",
       "RAD52           398            ⋯  258               316           \n",
       "MYH16            13            ⋯    2                 8           \n",
       "BAD            1842            ⋯  852              2035           \n",
       "LAP3           5298            ⋯ 2942              8907           \n",
       "CD99          16179            ⋯ 7883             21783           \n",
       "HS3ST1         2212            ⋯ 1398               164           \n",
       "AOC1            504            ⋯   23               263           \n",
       "WNT16            29            ⋯   10                 6           \n",
       "HECW1            22            ⋯    9               310           \n",
       "MAD1L1         1446            ⋯ 1101              1651           \n",
       "LASP1         18402            ⋯ 7013             11931           \n",
       "⋮             ⋮                ⋱ ⋮                ⋮               \n",
       "CICP14         353             ⋯  152              107            \n",
       "DNAJB5-DT        0             ⋯    1                2            \n",
       "SEPSECS-AS1     50             ⋯   11               41            \n",
       "LINC00895        0             ⋯    0                1            \n",
       "LSINCT5          0             ⋯    0                0            \n",
       "DBET             1             ⋯    0                1            \n",
       "DUX4L3           0             ⋯    0                0            \n",
       "SAMD12-AS1       5             ⋯    4                7            \n",
       "EBLN3P        3173             ⋯ 1492             1634            \n",
       "DUX4L7           0             ⋯    0                0            \n",
       "LINC00538        0             ⋯    0                0            \n",
       "RBM5-AS1        13             ⋯    0                3            \n",
       "PACRG-AS1        0             ⋯    0                0            \n",
       "MIR664A          0             ⋯    0                0            \n",
       "ERC2-IT1         1             ⋯    0                0            \n",
       "DUX4L8           0             ⋯    0                0            \n",
       "LINC01080        0             ⋯    0                2            \n",
       "METTL14-DT       1             ⋯    1                2            \n",
       "C2-AS1           2             ⋯    0                3            \n",
       "LINC01230        1             ⋯    0                3            \n",
       "LINC00550        0             ⋯    0                0            \n",
       "LINC01394        0             ⋯    1                3            \n",
       "LINC00602        0             ⋯    0                1            \n",
       "MIR1291          4             ⋯    2                2            \n",
       "LINC00891        6             ⋯    1                3            \n",
       "PAUPAR           0             ⋯    0                0            \n",
       "GIMAP1-GIMAP5    0             ⋯    0                1            \n",
       "LINC02246       17             ⋯   12                1            \n",
       "HERC2P7          1             ⋯    0                0            \n",
       "LINC01144       27             ⋯   19               46            \n",
       "              TCGA.C9.A47Z.01A TCGA.CN.6010.01A TCGA.WA.A7GZ.11A\n",
       "TSPAN6        1707              2218            2537            \n",
       "TNMD             0                 0              41            \n",
       "DPM1          1926              1574            1171            \n",
       "SCYL3          410               852             557            \n",
       "C1orf112       210               729             127            \n",
       "FGR            134               550             165            \n",
       "CFH           1264              5558            4651            \n",
       "FUCA2         1356              2921             647            \n",
       "GCLC          3710              8749            3029            \n",
       "NFYA          1671              1596             848            \n",
       "STPG1          611              1434             303            \n",
       "NIPAL3        1106              5552            2067            \n",
       "LAS1L         2556              3471            1060            \n",
       "ENPP4           30               484            1045            \n",
       "SEMA3F        8838              6240            4345            \n",
       "CFTR             1               313             119            \n",
       "ANKIB1        2151              4424            1823            \n",
       "CYP51A1        170               836             218            \n",
       "KRIT1         1176              2638            1335            \n",
       "RAD52          263               335             471            \n",
       "MYH16           46                27               7            \n",
       "BAD           1032              1999             827            \n",
       "LAP3          4001              3977            2302            \n",
       "CD99          7725             15481            7301            \n",
       "HS3ST1         382               598             329            \n",
       "AOC1           427               174               6            \n",
       "WNT16           19                21               6            \n",
       "HECW1           34               361             114            \n",
       "MAD1L1        1071              1089             894            \n",
       "LASP1         9429             12703            4249            \n",
       "⋮             ⋮                ⋮                ⋮               \n",
       "CICP14         151              278              497            \n",
       "DNAJB5-DT        2                1                3            \n",
       "SEPSECS-AS1     14               64               67            \n",
       "LINC00895        0                1                0            \n",
       "LSINCT5          0                1                0            \n",
       "DBET             3                1                6            \n",
       "DUX4L3           0                0                0            \n",
       "SAMD12-AS1       0              111                9            \n",
       "EBLN3P        2726             4980             1679            \n",
       "DUX4L7           0                0                0            \n",
       "LINC00538        0                3                1            \n",
       "RBM5-AS1         3                8               10            \n",
       "PACRG-AS1        0                2                3            \n",
       "MIR664A          0                0                0            \n",
       "ERC2-IT1         0                0                0            \n",
       "DUX4L8           0                0                0            \n",
       "LINC01080        1                1                0            \n",
       "METTL14-DT       2                1                1            \n",
       "C2-AS1           1                1                2            \n",
       "LINC01230        0                3                5            \n",
       "LINC00550        0                0                0            \n",
       "LINC01394        0                2                1            \n",
       "LINC00602        0                0                0            \n",
       "MIR1291          4                0                0            \n",
       "LINC00891        0                2                2            \n",
       "PAUPAR           0                0                0            \n",
       "GIMAP1-GIMAP5    0                0                0            \n",
       "LINC02246       35               17               16            \n",
       "HERC2P7          0                0                0            \n",
       "LINC01144       14               54               38            \n",
       "              TCGA.CV.7235.01A TCGA.CX.7086.01A TCGA.CV.6935.11A\n",
       "TSPAN6          492             2741             8492           \n",
       "TNMD              0                0                3           \n",
       "DPM1            976             1952             1578           \n",
       "SCYL3           376             1003              818           \n",
       "C1orf112        363             1103              281           \n",
       "FGR             488              214              419           \n",
       "CFH            5178             1809             7368           \n",
       "FUCA2          2138             2639             1355           \n",
       "GCLC          20007            13623             2276           \n",
       "NFYA           4131             2530             1583           \n",
       "STPG1           411             1662              619           \n",
       "NIPAL3          948             3134             2994           \n",
       "LAS1L          4242             2017             2516           \n",
       "ENPP4            84              359              282           \n",
       "SEMA3F         5266             4678            14400           \n",
       "CFTR              2               23              316           \n",
       "ANKIB1         2794             4224             2438           \n",
       "CYP51A1         801              841              564           \n",
       "KRIT1          1239             2773             1349           \n",
       "RAD52           176              594              166           \n",
       "MYH16             9               48                4           \n",
       "BAD            1884             1740             1795           \n",
       "LAP3          14008             7817             4122           \n",
       "CD99          14532             3594            11525           \n",
       "HS3ST1          149             1299             4190           \n",
       "AOC1             23              130             1465           \n",
       "WNT16             7               21               13           \n",
       "HECW1           119               46               18           \n",
       "MAD1L1         4167             2871             1811           \n",
       "LASP1         13417            10069            11222           \n",
       "⋮             ⋮                ⋮                ⋮               \n",
       "CICP14         130              132              135            \n",
       "DNAJB5-DT        2                2                1            \n",
       "SEPSECS-AS1     13               62               24            \n",
       "LINC00895        0                1                0            \n",
       "LSINCT5          1                4                0            \n",
       "DBET             0                0                0            \n",
       "DUX4L3           0                0                0            \n",
       "SAMD12-AS1       0               57               15            \n",
       "EBLN3P        2132             2192             1636            \n",
       "DUX4L7           0                0                0            \n",
       "LINC00538        0                0                0            \n",
       "RBM5-AS1         3                5                5            \n",
       "PACRG-AS1        1                2                1            \n",
       "MIR664A          0                0                0            \n",
       "ERC2-IT1         0                0                0            \n",
       "DUX4L8           0                0                0            \n",
       "LINC01080        0                0                0            \n",
       "METTL14-DT       1                3                1            \n",
       "C2-AS1           2                4                0            \n",
       "LINC01230        0                3                1            \n",
       "LINC00550        0                2                0            \n",
       "LINC01394        2                2                1            \n",
       "LINC00602        2                0                0            \n",
       "MIR1291          1                1                1            \n",
       "LINC00891        0                0                0            \n",
       "PAUPAR           0                1                0            \n",
       "GIMAP1-GIMAP5    0                0                0            \n",
       "LINC02246        8               11               12            \n",
       "HERC2P7          0                0                0            \n",
       "LINC01144       60               77               19            \n",
       "              TCGA.P3.A6SW.01A TCGA.HD.A6HZ.01A\n",
       "TSPAN6          770             923            \n",
       "TNMD              1               0            \n",
       "DPM1           1569            1183            \n",
       "SCYL3           620             607            \n",
       "C1orf112        591             344            \n",
       "FGR             462             925            \n",
       "CFH            2082            2482            \n",
       "FUCA2          1603            1769            \n",
       "GCLC          31675            3949            \n",
       "NFYA           1473             899            \n",
       "STPG1           534             956            \n",
       "NIPAL3         1441            1009            \n",
       "LAS1L          1597            2057            \n",
       "ENPP4            95             166            \n",
       "SEMA3F         7338            3311            \n",
       "CFTR              1               4            \n",
       "ANKIB1         1522            2949            \n",
       "CYP51A1         113             247            \n",
       "KRIT1           846            1741            \n",
       "RAD52           274             534            \n",
       "MYH16             3              70            \n",
       "BAD            1622             804            \n",
       "LAP3           2865            5146            \n",
       "CD99           8249            5859            \n",
       "HS3ST1          254             296            \n",
       "AOC1             37              53            \n",
       "WNT16             2               4            \n",
       "HECW1            19              24            \n",
       "MAD1L1         1071             982            \n",
       "LASP1          8014            8982            \n",
       "⋮             ⋮                ⋮               \n",
       "CICP14         114              131            \n",
       "DNAJB5-DT        2                5            \n",
       "SEPSECS-AS1     18               57            \n",
       "LINC00895        0                3            \n",
       "LSINCT5          1                1            \n",
       "DBET            33                2            \n",
       "DUX4L3           0                0            \n",
       "SAMD12-AS1       5                3            \n",
       "EBLN3P        1912             1630            \n",
       "DUX4L7           0                0            \n",
       "LINC00538        0                0            \n",
       "RBM5-AS1         0                2            \n",
       "PACRG-AS1        0                0            \n",
       "MIR664A          0                0            \n",
       "ERC2-IT1         0                1            \n",
       "DUX4L8           0                0            \n",
       "LINC01080        0                3            \n",
       "METTL14-DT       3                2            \n",
       "C2-AS1           8                1            \n",
       "LINC01230        2                1            \n",
       "LINC00550        0                0            \n",
       "LINC01394        0                1            \n",
       "LINC00602        2                0            \n",
       "MIR1291          1                0            \n",
       "LINC00891        1                1            \n",
       "PAUPAR           0                0            \n",
       "GIMAP1-GIMAP5    0                0            \n",
       "LINC02246        0               11            \n",
       "HERC2P7          1                1            \n",
       "LINC01144       22               40            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_TCGA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bc344a62",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pseudobulk_raw <- read.table(\"/home/cke/Puram/Puram_pseudobulk_fromraw.tsv\",sep='\\t',header=TRUE,row.names = 1,check.names = FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2b39a93c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 21437 × 17 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>C9orf152</th><td>1.070037e+00</td><td>1.508991e+01</td><td>   0.0000000</td><td>2.279995e+00</td><td>1.639991e+00</td><td>8.599691e-01</td><td>0.000000e+00</td><td>    10.99998</td><td>4.891164e+01</td><td>1.230470e+03</td><td>1.507339e+03</td><td>0.000000e+00</td><td>0.000000e+00</td><td>2.289605e+02</td><td>1.221594e+02</td><td>1.192603e+02</td><td>1.814678e+02</td></tr>\n",
       "\t<tr><th scope=row>RPS11</th><td>1.275161e+05</td><td>7.974094e+05</td><td>4896.8430000</td><td>1.064200e+05</td><td>7.266568e+04</td><td>9.393514e+04</td><td>5.405674e+04</td><td>384059.34000</td><td>4.115924e+05</td><td>3.891496e+05</td><td>5.296316e+05</td><td>1.204831e+05</td><td>5.868307e+04</td><td>9.821073e+04</td><td>7.138691e+05</td><td>5.262558e+05</td><td>6.779932e+05</td></tr>\n",
       "\t<tr><th scope=row>ELMO2</th><td>2.767269e+04</td><td>6.884133e+03</td><td> 564.2151000</td><td>3.875414e+03</td><td>6.922304e+02</td><td>8.867369e+03</td><td>3.024252e+03</td><td> 32923.88300</td><td>8.504071e+03</td><td>2.942944e+04</td><td>2.070846e+04</td><td>1.040327e+04</td><td>3.061067e+03</td><td>5.982114e+03</td><td>2.147233e+04</td><td>1.237756e+04</td><td>1.965770e+04</td></tr>\n",
       "\t<tr><th scope=row>CREB3L1</th><td>0.000000e+00</td><td>2.057793e+03</td><td>   0.0000000</td><td>2.921787e+02</td><td>8.500061e+00</td><td>0.000000e+00</td><td>1.591715e+02</td><td>   713.27423</td><td>4.292734e+02</td><td>4.853104e+03</td><td>2.129528e+02</td><td>0.000000e+00</td><td>0.000000e+00</td><td>1.796432e+03</td><td>3.752578e+02</td><td>9.579015e+01</td><td>4.198079e+02</td></tr>\n",
       "\t<tr><th scope=row>PNMA1</th><td>2.019244e+04</td><td>1.451641e+04</td><td>   0.0000000</td><td>3.218139e+03</td><td>1.550611e+03</td><td>1.268123e+03</td><td>5.194913e+03</td><td> 22012.36500</td><td>5.188560e+03</td><td>1.953822e+04</td><td>3.255594e+04</td><td>8.768883e+03</td><td>2.480035e+03</td><td>2.192352e+04</td><td>5.201470e+04</td><td>2.409740e+04</td><td>3.207814e+04</td></tr>\n",
       "\t<tr><th scope=row>MMP2</th><td>1.101702e+04</td><td>1.038967e+05</td><td> 284.7255000</td><td>2.957900e+04</td><td>3.208519e+04</td><td>5.839996e+00</td><td>4.567533e+03</td><td>111500.41400</td><td>2.596102e+04</td><td>9.769238e+04</td><td>1.054272e+04</td><td>3.243024e+04</td><td>0.000000e+00</td><td>3.103706e+05</td><td>1.566829e+05</td><td>3.642877e+04</td><td>1.833810e+05</td></tr>\n",
       "\t<tr><th scope=row>TMEM216</th><td>7.929176e+03</td><td>9.550964e+03</td><td>   0.0000000</td><td>2.594957e+03</td><td>3.702407e+03</td><td>2.576449e+03</td><td>3.687958e+03</td><td> 25225.04100</td><td>1.056333e+04</td><td>1.286582e+04</td><td>4.574459e+04</td><td>5.642994e+03</td><td>5.725101e+03</td><td>2.809362e+03</td><td>2.609709e+04</td><td>1.667838e+04</td><td>1.644025e+04</td></tr>\n",
       "\t<tr><th scope=row>TRAF3IP2-AS1</th><td>1.914830e+03</td><td>3.460022e+03</td><td>   5.1099440</td><td>5.730051e+02</td><td>3.277422e+02</td><td>4.799390e+02</td><td>5.162864e+02</td><td>  4966.55600</td><td>1.529795e+03</td><td>1.925030e+03</td><td>3.372981e+03</td><td>2.539174e+03</td><td>6.034418e+02</td><td>4.107117e+02</td><td>7.182193e+03</td><td>4.218196e+03</td><td>6.918118e+03</td></tr>\n",
       "\t<tr><th scope=row>LRRC37A5P</th><td>0.000000e+00</td><td>9.110051e+00</td><td>   0.0000000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>     0.00000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>2.349991e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td></tr>\n",
       "\t<tr><th scope=row>LOC653712</th><td>4.401727e+02</td><td>2.159972e+02</td><td>   0.4000034</td><td>2.891998e+01</td><td>2.705996e+01</td><td>8.368912e+01</td><td>1.314990e+01</td><td>  1015.33230</td><td>3.334766e+02</td><td>3.812844e+02</td><td>1.028272e+03</td><td>3.752003e+01</td><td>2.216004e+01</td><td>2.041402e+02</td><td>1.019929e+03</td><td>7.229066e+02</td><td>4.694138e+02</td></tr>\n",
       "\t<tr><th scope=row>C10orf90</th><td>0.000000e+00</td><td>7.940326e+03</td><td>   0.0000000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>    77.19225</td><td>4.260136e+01</td><td>5.230043e+00</td><td>1.081520e+03</td><td>0.000000e+00</td><td>0.000000e+00</td><td>8.899701e-01</td><td>2.521036e+01</td><td>0.000000e+00</td><td>1.328845e+03</td></tr>\n",
       "\t<tr><th scope=row>ZHX3</th><td>4.164563e+02</td><td>2.276368e+03</td><td>   0.8200007</td><td>9.159974e+01</td><td>2.829323e+02</td><td>2.430035e+02</td><td>4.828101e+01</td><td>  1607.00720</td><td>1.389127e+03</td><td>1.591756e+03</td><td>1.204848e+03</td><td>5.413561e+02</td><td>1.806369e+02</td><td>1.855299e+02</td><td>3.230615e+03</td><td>1.542818e+03</td><td>4.943333e+03</td></tr>\n",
       "\t<tr><th scope=row>ERCC5</th><td>1.429116e+04</td><td>4.316268e+03</td><td> 286.9195300</td><td>5.267087e+03</td><td>1.476100e+03</td><td>1.000314e+04</td><td>4.229487e+03</td><td> 25391.76800</td><td>1.200387e+04</td><td>1.974760e+04</td><td>1.628994e+04</td><td>1.154108e+04</td><td>1.549899e+03</td><td>2.924160e+03</td><td>3.453982e+04</td><td>7.504152e+03</td><td>1.394460e+04</td></tr>\n",
       "\t<tr><th scope=row>GPR98</th><td>3.575000e+01</td><td>7.599752e+02</td><td>  14.4206230</td><td>2.268010e+01</td><td>4.947156e+01</td><td>0.000000e+00</td><td>2.203995e+01</td><td>   231.31783</td><td>5.699179e+02</td><td>6.705617e+02</td><td>1.850871e+03</td><td>1.978098e+02</td><td>0.000000e+00</td><td>7.060028e+00</td><td>4.017858e+02</td><td>1.141205e+03</td><td>2.883768e+02</td></tr>\n",
       "\t<tr><th scope=row>RXFP3</th><td>0.000000e+00</td><td>1.899987e+00</td><td>   0.0000000</td><td>2.079081e+01</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>     0.00000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>5.370030e+00</td><td>3.310000e+02</td></tr>\n",
       "\t<tr><th scope=row>CTAGE10P</th><td>1.228992e+01</td><td>3.781910e+01</td><td>   0.0000000</td><td>3.359997e+00</td><td>4.299988e-01</td><td>8.500373e-01</td><td>3.911443e+02</td><td>     8.28994</td><td>1.219978e+00</td><td>2.811963e+01</td><td>1.043990e+01</td><td>6.900011e-01</td><td>3.630016e+00</td><td>3.299982e-01</td><td>2.079996e+01</td><td>3.294927e+01</td><td>5.939998e+00</td></tr>\n",
       "\t<tr><th scope=row>APBB2</th><td>1.098265e+03</td><td>5.802596e+03</td><td>   0.1500019</td><td>1.334306e+03</td><td>3.797506e+02</td><td>3.118985e+01</td><td>1.011542e+03</td><td>  3932.54610</td><td>1.160985e+04</td><td>3.259392e+03</td><td>3.258684e+03</td><td>4.012783e+03</td><td>9.600167e-01</td><td>1.639026e+03</td><td>6.455190e+03</td><td>4.943554e+03</td><td>1.110585e+04</td></tr>\n",
       "\t<tr><th scope=row>KLHL13</th><td>7.833956e+02</td><td>6.265801e+03</td><td>   0.0000000</td><td>6.332912e+02</td><td>0.000000e+00</td><td>6.899962e+00</td><td>2.287573e+02</td><td>  5677.46900</td><td>4.563820e+03</td><td>1.210085e+03</td><td>6.725532e+03</td><td>7.172827e+03</td><td>0.000000e+00</td><td>7.030565e+02</td><td>5.692439e+03</td><td>2.048362e+03</td><td>9.783947e+03</td></tr>\n",
       "\t<tr><th scope=row>PDCL3</th><td>9.541015e+04</td><td>1.645819e+04</td><td> 807.3194600</td><td>5.930392e+03</td><td>4.686716e+03</td><td>9.222366e+04</td><td>2.510847e+04</td><td>149163.61000</td><td>7.802890e+04</td><td>9.553759e+04</td><td>8.441038e+04</td><td>1.448408e+04</td><td>4.968455e+03</td><td>1.580219e+04</td><td>1.210459e+05</td><td>4.595086e+04</td><td>5.158208e+04</td></tr>\n",
       "\t<tr><th scope=row>AEN</th><td>3.764164e+03</td><td>9.985802e+03</td><td>   0.0000000</td><td>4.993507e+03</td><td>2.296040e+03</td><td>7.712596e+03</td><td>3.785534e+03</td><td> 16867.36500</td><td>7.023079e+03</td><td>2.038452e+04</td><td>1.600387e+04</td><td>3.052914e+03</td><td>1.549382e+03</td><td>5.534039e+03</td><td>2.178490e+04</td><td>3.797584e+03</td><td>9.469110e+03</td></tr>\n",
       "\t<tr><th scope=row>FRG2</th><td>1.700992e+01</td><td>2.380996e+01</td><td>   0.0000000</td><td>4.570003e+00</td><td>3.439968e+00</td><td>8.749884e+00</td><td>1.320008e+00</td><td>    28.06995</td><td>2.805027e+01</td><td>3.204933e+01</td><td>1.840993e+01</td><td>3.869996e+00</td><td>2.909943e+00</td><td>2.780001e+00</td><td>4.431096e+01</td><td>4.297045e+01</td><td>4.022024e+01</td></tr>\n",
       "\t<tr><th scope=row>DECR1</th><td>2.376442e+04</td><td>3.585029e+04</td><td> 252.4189500</td><td>1.151869e+04</td><td>1.156843e+04</td><td>2.612819e+04</td><td>7.909833e+03</td><td> 83626.97000</td><td>7.700456e+04</td><td>6.723209e+04</td><td>8.462088e+04</td><td>4.814307e+04</td><td>4.289679e+03</td><td>1.367785e+04</td><td>7.724688e+04</td><td>5.074278e+04</td><td>6.832814e+04</td></tr>\n",
       "\t<tr><th scope=row>SALL1</th><td>0.000000e+00</td><td>2.780946e+01</td><td>   0.0000000</td><td>1.149971e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>    17.07009</td><td>0.000000e+00</td><td>3.551998e+01</td><td>8.133976e+01</td><td>1.299978e+00</td><td>0.000000e+00</td><td>7.790043e+00</td><td>5.636044e+01</td><td>4.952931e+01</td><td>3.299515e+02</td></tr>\n",
       "\t<tr><th scope=row>GGT3P</th><td>2.349013e+01</td><td>1.045991e+01</td><td>   0.0000000</td><td>7.150017e+00</td><td>1.919052e+01</td><td>1.645009e+01</td><td>9.010052e+00</td><td>   119.15067</td><td>1.709208e+02</td><td>2.250900e+02</td><td>8.114347e+02</td><td>0.000000e+00</td><td>0.000000e+00</td><td>1.093009e+01</td><td>4.342925e+01</td><td>2.317914e+01</td><td>2.581955e+01</td></tr>\n",
       "\t<tr><th scope=row>CADM4</th><td>0.000000e+00</td><td>3.734154e+02</td><td>   0.0000000</td><td>0.000000e+00</td><td>2.651021e+01</td><td>0.000000e+00</td><td>3.707953e+01</td><td>    35.86018</td><td>5.447899e+01</td><td>5.543212e+02</td><td>1.039428e+03</td><td>4.199998e+00</td><td>0.000000e+00</td><td>1.080003e+00</td><td>2.859991e+02</td><td>1.623393e+02</td><td>3.362881e+01</td></tr>\n",
       "\t<tr><th scope=row>RPS18</th><td>5.515396e+05</td><td>9.791377e+05</td><td>7243.6157000</td><td>2.378426e+05</td><td>1.260426e+05</td><td>2.864576e+05</td><td>1.508364e+05</td><td>952767.90000</td><td>1.763729e+06</td><td>1.103297e+06</td><td>2.430549e+06</td><td>2.917163e+05</td><td>2.074357e+05</td><td>2.713845e+05</td><td>2.582886e+06</td><td>2.376494e+06</td><td>2.575602e+06</td></tr>\n",
       "\t<tr><th scope=row>SLC10A7</th><td>7.613639e+03</td><td>3.024228e+03</td><td>   0.0000000</td><td>9.314135e+02</td><td>8.652327e+02</td><td>2.804941e+03</td><td>2.812584e+02</td><td>  5014.52100</td><td>4.480615e+03</td><td>4.903287e+03</td><td>4.650931e+03</td><td>1.150552e+03</td><td>8.078161e+01</td><td>1.391947e+03</td><td>4.631855e+03</td><td>1.795475e+03</td><td>3.246002e+03</td></tr>\n",
       "\t<tr><th scope=row>CFHR5</th><td>0.000000e+00</td><td>0.000000e+00</td><td>   0.0000000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>3.788919e+01</td><td>0.000000e+00</td><td>   301.12018</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td></tr>\n",
       "\t<tr><th scope=row>OR2K2</th><td>0.000000e+00</td><td>4.159808e+02</td><td>   0.0000000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>    23.51962</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>7.002889e+01</td><td>0.000000e+00</td><td>0.000000e+00</td></tr>\n",
       "\t<tr><th scope=row>BRIX1</th><td>2.059770e+04</td><td>3.668720e+04</td><td>1217.7927000</td><td>2.481726e+04</td><td>5.695337e+03</td><td>1.347237e+04</td><td>5.092261e+03</td><td> 52758.84000</td><td>4.486757e+04</td><td>6.991237e+04</td><td>2.955088e+05</td><td>2.527642e+04</td><td>5.911265e+03</td><td>1.256421e+04</td><td>4.983546e+04</td><td>7.373229e+04</td><td>3.564225e+04</td></tr>\n",
       "\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><th scope=row>PHF21A</th><td>2.785616e+03</td><td>  2465.91280</td><td>0.000000e+00</td><td> 1357.841600</td><td> 1819.64180</td><td>1.107280e+03</td><td> 1147.473100</td><td>7.169346e+03</td><td>1.898656e+03</td><td>3.129766e+03</td><td>4.923750e+03</td><td>1.559459e+03</td><td>  838.89880</td><td>1.296647e+03</td><td>  4788.48700</td><td>  2568.95680</td><td>  4726.26560</td></tr>\n",
       "\t<tr><th scope=row>FAM49B</th><td>2.887879e+04</td><td>  8723.12100</td><td>1.652691e+02</td><td> 4233.013700</td><td> 1368.18630</td><td>1.190668e+04</td><td> 5501.290000</td><td>3.910534e+04</td><td>2.667874e+04</td><td>2.644524e+04</td><td>3.459950e+04</td><td>1.244116e+04</td><td> 8946.57200</td><td>2.807432e+03</td><td> 43619.64500</td><td> 13686.05800</td><td>  9758.94900</td></tr>\n",
       "\t<tr><th scope=row>PNPLA2</th><td>6.406825e+03</td><td>  6747.79740</td><td>0.000000e+00</td><td>  467.364440</td><td>  431.47460</td><td>2.576874e+03</td><td> 1265.915400</td><td>8.913523e+03</td><td>6.413581e+03</td><td>1.495477e+04</td><td>4.636100e+03</td><td>1.515057e+03</td><td>  739.19525</td><td>1.858047e+03</td><td>  9427.20900</td><td>  5586.18260</td><td> 12472.78600</td></tr>\n",
       "\t<tr><th scope=row>CNST</th><td>1.419324e+04</td><td> 10700.34600</td><td>0.000000e+00</td><td>10611.299000</td><td> 6413.60450</td><td>4.782627e+03</td><td> 4974.529300</td><td>3.320699e+04</td><td>1.070300e+04</td><td>2.446137e+04</td><td>2.406094e+04</td><td>9.054530e+03</td><td> 2647.36960</td><td>6.302122e+03</td><td> 23363.98200</td><td>  7524.13600</td><td> 14720.59100</td></tr>\n",
       "\t<tr><th scope=row>ERCC2</th><td>4.703358e+03</td><td>  3811.58840</td><td>1.800031e-01</td><td>  251.040180</td><td> 1411.57240</td><td>3.137238e+03</td><td>  794.007260</td><td>9.578964e+03</td><td>5.963119e+03</td><td>6.901427e+03</td><td>2.122716e+04</td><td>5.541827e+03</td><td> 1910.91720</td><td>1.378743e+03</td><td>  5500.87000</td><td>  1651.19800</td><td>  7047.81900</td></tr>\n",
       "\t<tr><th scope=row>EAF2</th><td>8.833735e+03</td><td>  2928.32280</td><td>0.000000e+00</td><td>28308.338000</td><td> 8001.09900</td><td>1.209764e+03</td><td> 5677.534700</td><td>7.831238e+03</td><td>1.396883e+04</td><td>1.792540e+04</td><td>7.262530e+03</td><td>1.731680e+03</td><td>    0.00000</td><td>4.399019e+01</td><td> 10881.96200</td><td>  4697.97660</td><td>  8998.29700</td></tr>\n",
       "\t<tr><th scope=row>VPS13B</th><td>1.141819e+04</td><td> 20700.21500</td><td>7.000221e-02</td><td> 4339.047000</td><td> 1251.96770</td><td>8.481343e+03</td><td> 1975.022700</td><td>1.791523e+04</td><td>9.322408e+03</td><td>1.058693e+04</td><td>2.272495e+04</td><td>4.572974e+03</td><td> 4248.84800</td><td>3.254477e+03</td><td> 29343.76400</td><td> 12325.60450</td><td> 23259.63700</td></tr>\n",
       "\t<tr><th scope=row>TP53TG3B</th><td>2.198953e+01</td><td>    65.51089</td><td>0.000000e+00</td><td>    0.000000</td><td>    0.00000</td><td>0.000000e+00</td><td>    3.770014</td><td>0.000000e+00</td><td>2.334006e+02</td><td>1.272058e+01</td><td>1.910486e+03</td><td>1.658620e+02</td><td>   11.50989</td><td>0.000000e+00</td><td>    13.48924</td><td>  1983.22900</td><td>   143.55667</td></tr>\n",
       "\t<tr><th scope=row>C14orf101</th><td>5.866090e+02</td><td>  2405.98120</td><td>0.000000e+00</td><td> 1212.932500</td><td>  294.52264</td><td>1.606346e+03</td><td>  244.614180</td><td>3.314913e+03</td><td>2.416051e+03</td><td>7.677666e+03</td><td>6.378080e+03</td><td>1.373644e+03</td><td>  752.73975</td><td>2.494215e+02</td><td>  3233.04740</td><td>  1825.19090</td><td>  3653.94680</td></tr>\n",
       "\t<tr><th scope=row>ST18</th><td>1.470037e+00</td><td>    54.82828</td><td>0.000000e+00</td><td>    0.000000</td><td>    0.00000</td><td>0.000000e+00</td><td>    0.000000</td><td>8.800109e-01</td><td>1.900024e+00</td><td>1.090005e+00</td><td>1.009969e+00</td><td>0.000000e+00</td><td>    0.00000</td><td>2.999976e-01</td><td>     0.00000</td><td>   112.08805</td><td>     0.00000</td></tr>\n",
       "\t<tr><th scope=row>PSMB9</th><td>1.633646e+05</td><td> 60906.75400</td><td>1.240187e+03</td><td>57872.098000</td><td>51051.28500</td><td>1.020057e+05</td><td>50061.180000</td><td>3.471429e+05</td><td>3.109653e+05</td><td>2.573806e+05</td><td>8.103005e+04</td><td>1.055394e+05</td><td>25334.61500</td><td>1.851262e+04</td><td>213429.92000</td><td>133665.64000</td><td>107391.86000</td></tr>\n",
       "\t<tr><th scope=row>ADRBK2</th><td>1.494987e+03</td><td>  1705.35670</td><td>1.430005e+00</td><td> 1199.509800</td><td>  847.10090</td><td>6.456715e+02</td><td> 3412.300800</td><td>2.313894e+03</td><td>1.356032e+03</td><td>1.297096e+03</td><td>4.818161e+03</td><td>9.242383e+02</td><td>  692.25420</td><td>4.679573e+02</td><td>  2127.50780</td><td>  2290.74900</td><td>  1718.12830</td></tr>\n",
       "\t<tr><th scope=row>HCLS1</th><td>1.310256e+05</td><td>  7482.22700</td><td>0.000000e+00</td><td>21657.566000</td><td> 5521.06500</td><td>6.219002e+04</td><td>23670.360000</td><td>2.171862e+05</td><td>4.235679e+04</td><td>1.428008e+05</td><td>6.292557e+02</td><td>9.477089e+03</td><td>14032.35900</td><td>1.419987e+03</td><td>106412.08600</td><td> 13576.86500</td><td> 15264.25300</td></tr>\n",
       "\t<tr><th scope=row>GPR15</th><td>4.572777e+04</td><td>   159.29881</td><td>0.000000e+00</td><td> 1118.655300</td><td>  516.29510</td><td>3.693806e+03</td><td> 2028.692000</td><td>5.196366e+03</td><td>2.198426e+04</td><td>2.800841e+04</td><td>0.000000e+00</td><td>3.529983e+00</td><td> 1795.25180</td><td>0.000000e+00</td><td> 30856.31200</td><td>     0.00000</td><td>  1708.52370</td></tr>\n",
       "\t<tr><th scope=row>LOC100093631</th><td>5.909958e+00</td><td>   751.74750</td><td>0.000000e+00</td><td>   13.440446</td><td>    0.00000</td><td>2.199990e+00</td><td>    1.409965</td><td>9.985082e+01</td><td>4.031601e+02</td><td>1.470019e+00</td><td>2.261848e+02</td><td>9.520918e+01</td><td>    0.00000</td><td>0.000000e+00</td><td>   165.94737</td><td>    72.79894</td><td>    59.42855</td></tr>\n",
       "\t<tr><th scope=row>CSF2</th><td>0.000000e+00</td><td>     0.00000</td><td>0.000000e+00</td><td>    0.000000</td><td> 2373.17240</td><td>1.525363e+03</td><td>    0.000000</td><td>3.151343e+04</td><td>1.037227e+04</td><td>6.608776e+03</td><td>1.309800e+02</td><td>1.851441e+03</td><td> 1201.45750</td><td>3.469129e+02</td><td>  2793.67240</td><td>    40.31889</td><td>   143.04771</td></tr>\n",
       "\t<tr><th scope=row>SLC2A11</th><td>1.361599e+03</td><td>   376.43848</td><td>0.000000e+00</td><td>   23.189312</td><td>  217.70990</td><td>1.397004e+01</td><td>  356.625820</td><td>2.499717e+03</td><td>2.503753e+02</td><td>1.785124e+03</td><td>2.595086e+03</td><td>4.655780e+02</td><td>   69.11841</td><td>3.156334e+02</td><td>  1713.76680</td><td>  1270.78280</td><td>  1640.68730</td></tr>\n",
       "\t<tr><th scope=row>SELO</th><td>5.937259e+03</td><td>  3822.29370</td><td>1.999989e-01</td><td>  311.779400</td><td>  349.04633</td><td>8.519461e+02</td><td> 1732.591600</td><td>9.942472e+03</td><td>2.789003e+03</td><td>6.802198e+03</td><td>9.180138e+03</td><td>1.484590e+03</td><td>  125.31033</td><td>3.261411e+02</td><td>  6653.56540</td><td>  2763.76100</td><td>  3907.53320</td></tr>\n",
       "\t<tr><th scope=row>GRIP2</th><td>4.110059e+00</td><td>   186.21004</td><td>0.000000e+00</td><td>    9.560022</td><td>   67.83949</td><td>3.463443e+02</td><td>  248.402710</td><td>8.577499e+02</td><td>4.400080e+01</td><td>1.769888e+02</td><td>2.443686e+02</td><td>5.155981e+02</td><td>    0.00000</td><td>5.343126e+02</td><td>  2746.33060</td><td>   777.83350</td><td>  4431.18800</td></tr>\n",
       "\t<tr><th scope=row>GOLGA8B</th><td>2.575175e+04</td><td>  5799.45360</td><td>5.999981e-01</td><td> 6776.031200</td><td> 2118.90770</td><td>9.052661e+03</td><td> 4164.759000</td><td>3.332033e+04</td><td>1.242805e+04</td><td>2.609591e+04</td><td>8.185414e+03</td><td>1.912410e+03</td><td> 6567.11670</td><td>8.867165e+02</td><td> 13128.73400</td><td>  5051.83350</td><td>  4139.19000</td></tr>\n",
       "\t<tr><th scope=row>MIR4691</th><td>9.995185e+01</td><td>     0.00000</td><td>0.000000e+00</td><td>    0.000000</td><td>  133.69122</td><td>9.077040e+01</td><td>    0.000000</td><td>3.399051e+02</td><td>0.000000e+00</td><td>3.493870e+02</td><td>1.528983e+02</td><td>0.000000e+00</td><td>    0.00000</td><td>0.000000e+00</td><td>    53.77098</td><td>     0.00000</td><td>     0.00000</td></tr>\n",
       "\t<tr><th scope=row>GPLD1</th><td>5.329692e+02</td><td>  5316.55000</td><td>3.259987e+00</td><td>  649.672100</td><td>  354.30823</td><td>2.797801e+02</td><td>   99.890150</td><td>1.490402e+03</td><td>1.796011e+03</td><td>1.053060e+03</td><td>3.024134e+03</td><td>1.151598e+02</td><td>   30.20993</td><td>8.662934e+01</td><td>   837.42090</td><td>  1552.17630</td><td>  1489.76050</td></tr>\n",
       "\t<tr><th scope=row>RAB8A</th><td>4.477133e+04</td><td> 34835.39000</td><td>1.434918e+03</td><td>15174.484000</td><td>21177.67000</td><td>3.262269e+04</td><td>22997.420000</td><td>8.039070e+04</td><td>8.160174e+04</td><td>8.708536e+04</td><td>6.176265e+04</td><td>2.929811e+04</td><td> 4543.48900</td><td>1.285601e+04</td><td> 71735.91000</td><td> 29233.26200</td><td> 37442.30500</td></tr>\n",
       "\t<tr><th scope=row>RXFP2</th><td>0.000000e+00</td><td>     0.00000</td><td>0.000000e+00</td><td>    0.000000</td><td>    0.00000</td><td>7.830041e+00</td><td>    0.000000</td><td>0.000000e+00</td><td>0.000000e+00</td><td>9.739973e+00</td><td>0.000000e+00</td><td>0.000000e+00</td><td>    0.00000</td><td>0.000000e+00</td><td>    35.03108</td><td>     0.00000</td><td>     0.00000</td></tr>\n",
       "\t<tr><th scope=row>PCIF1</th><td>3.149026e+04</td><td> 17626.15200</td><td>0.000000e+00</td><td> 9082.962000</td><td> 6226.81200</td><td>1.930225e+04</td><td> 7737.860000</td><td>5.035919e+04</td><td>2.443842e+04</td><td>4.549898e+04</td><td>6.625304e+04</td><td>2.585876e+04</td><td> 6759.62600</td><td>1.253416e+04</td><td> 56911.48400</td><td> 28741.54300</td><td> 60669.24600</td></tr>\n",
       "\t<tr><th scope=row>PIK3IP1</th><td>1.863332e+05</td><td> 14208.05900</td><td>4.032947e+02</td><td>29109.057000</td><td> 4307.40870</td><td>1.084564e+05</td><td>18721.611000</td><td>1.729337e+05</td><td>1.042528e+05</td><td>2.392860e+05</td><td>3.945488e+04</td><td>1.807997e+04</td><td>32542.47700</td><td>1.275807e+04</td><td> 88065.61000</td><td> 30373.40000</td><td> 20025.50400</td></tr>\n",
       "\t<tr><th scope=row>SNRPD2</th><td>8.529338e+04</td><td>197277.23000</td><td>1.141904e+03</td><td>31922.809000</td><td>24080.49000</td><td>4.358167e+04</td><td>17348.338000</td><td>2.193041e+05</td><td>2.777645e+05</td><td>2.228660e+05</td><td>4.953930e+05</td><td>1.060863e+05</td><td> 9695.93700</td><td>3.380782e+04</td><td>221051.25000</td><td>162435.40000</td><td>135079.60000</td></tr>\n",
       "\t<tr><th scope=row>SLC39A6</th><td>9.174784e+03</td><td> 14388.79400</td><td>0.000000e+00</td><td> 3801.234900</td><td> 8926.33000</td><td>9.287675e+03</td><td> 3642.337200</td><td>3.173225e+04</td><td>8.406950e+04</td><td>1.759206e+04</td><td>2.401198e+04</td><td>1.677840e+04</td><td>  176.35738</td><td>7.616164e+03</td><td> 27308.04000</td><td> 14618.60300</td><td> 29844.93200</td></tr>\n",
       "\t<tr><th scope=row>CTSC</th><td>5.632757e+04</td><td> 58540.68400</td><td>2.372357e+02</td><td> 5295.908000</td><td>10849.47800</td><td>3.566932e+04</td><td>16689.566000</td><td>1.341342e+05</td><td>1.030296e+05</td><td>1.578511e+05</td><td>6.225788e+04</td><td>3.001467e+04</td><td>20414.51800</td><td>1.459615e+04</td><td> 98593.85000</td><td> 38989.60500</td><td> 55207.69500</td></tr>\n",
       "\t<tr><th scope=row>AQP7</th><td>5.495626e+02</td><td>   138.92795</td><td>0.000000e+00</td><td>    0.000000</td><td>    0.00000</td><td>7.689951e+00</td><td>    0.000000</td><td>1.451950e+02</td><td>2.719911e+01</td><td>6.721066e+01</td><td>0.000000e+00</td><td>1.367066e+01</td><td>    0.00000</td><td>4.460007e+01</td><td>   166.57741</td><td>   338.92465</td><td>  2320.10820</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 21437 × 17 of type dbl\n",
       "\\begin{tabular}{r|lllllllllllllllll}\n",
       "  & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       "\\hline\n",
       "\tC9orf152 & 1.070037e+00 & 1.508991e+01 &    0.0000000 & 2.279995e+00 & 1.639991e+00 & 8.599691e-01 & 0.000000e+00 &     10.99998 & 4.891164e+01 & 1.230470e+03 & 1.507339e+03 & 0.000000e+00 & 0.000000e+00 & 2.289605e+02 & 1.221594e+02 & 1.192603e+02 & 1.814678e+02\\\\\n",
       "\tRPS11 & 1.275161e+05 & 7.974094e+05 & 4896.8430000 & 1.064200e+05 & 7.266568e+04 & 9.393514e+04 & 5.405674e+04 & 384059.34000 & 4.115924e+05 & 3.891496e+05 & 5.296316e+05 & 1.204831e+05 & 5.868307e+04 & 9.821073e+04 & 7.138691e+05 & 5.262558e+05 & 6.779932e+05\\\\\n",
       "\tELMO2 & 2.767269e+04 & 6.884133e+03 &  564.2151000 & 3.875414e+03 & 6.922304e+02 & 8.867369e+03 & 3.024252e+03 &  32923.88300 & 8.504071e+03 & 2.942944e+04 & 2.070846e+04 & 1.040327e+04 & 3.061067e+03 & 5.982114e+03 & 2.147233e+04 & 1.237756e+04 & 1.965770e+04\\\\\n",
       "\tCREB3L1 & 0.000000e+00 & 2.057793e+03 &    0.0000000 & 2.921787e+02 & 8.500061e+00 & 0.000000e+00 & 1.591715e+02 &    713.27423 & 4.292734e+02 & 4.853104e+03 & 2.129528e+02 & 0.000000e+00 & 0.000000e+00 & 1.796432e+03 & 3.752578e+02 & 9.579015e+01 & 4.198079e+02\\\\\n",
       "\tPNMA1 & 2.019244e+04 & 1.451641e+04 &    0.0000000 & 3.218139e+03 & 1.550611e+03 & 1.268123e+03 & 5.194913e+03 &  22012.36500 & 5.188560e+03 & 1.953822e+04 & 3.255594e+04 & 8.768883e+03 & 2.480035e+03 & 2.192352e+04 & 5.201470e+04 & 2.409740e+04 & 3.207814e+04\\\\\n",
       "\tMMP2 & 1.101702e+04 & 1.038967e+05 &  284.7255000 & 2.957900e+04 & 3.208519e+04 & 5.839996e+00 & 4.567533e+03 & 111500.41400 & 2.596102e+04 & 9.769238e+04 & 1.054272e+04 & 3.243024e+04 & 0.000000e+00 & 3.103706e+05 & 1.566829e+05 & 3.642877e+04 & 1.833810e+05\\\\\n",
       "\tTMEM216 & 7.929176e+03 & 9.550964e+03 &    0.0000000 & 2.594957e+03 & 3.702407e+03 & 2.576449e+03 & 3.687958e+03 &  25225.04100 & 1.056333e+04 & 1.286582e+04 & 4.574459e+04 & 5.642994e+03 & 5.725101e+03 & 2.809362e+03 & 2.609709e+04 & 1.667838e+04 & 1.644025e+04\\\\\n",
       "\tTRAF3IP2-AS1 & 1.914830e+03 & 3.460022e+03 &    5.1099440 & 5.730051e+02 & 3.277422e+02 & 4.799390e+02 & 5.162864e+02 &   4966.55600 & 1.529795e+03 & 1.925030e+03 & 3.372981e+03 & 2.539174e+03 & 6.034418e+02 & 4.107117e+02 & 7.182193e+03 & 4.218196e+03 & 6.918118e+03\\\\\n",
       "\tLRRC37A5P & 0.000000e+00 & 9.110051e+00 &    0.0000000 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 &      0.00000 & 0.000000e+00 & 0.000000e+00 & 2.349991e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00\\\\\n",
       "\tLOC653712 & 4.401727e+02 & 2.159972e+02 &    0.4000034 & 2.891998e+01 & 2.705996e+01 & 8.368912e+01 & 1.314990e+01 &   1015.33230 & 3.334766e+02 & 3.812844e+02 & 1.028272e+03 & 3.752003e+01 & 2.216004e+01 & 2.041402e+02 & 1.019929e+03 & 7.229066e+02 & 4.694138e+02\\\\\n",
       "\tC10orf90 & 0.000000e+00 & 7.940326e+03 &    0.0000000 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 &     77.19225 & 4.260136e+01 & 5.230043e+00 & 1.081520e+03 & 0.000000e+00 & 0.000000e+00 & 8.899701e-01 & 2.521036e+01 & 0.000000e+00 & 1.328845e+03\\\\\n",
       "\tZHX3 & 4.164563e+02 & 2.276368e+03 &    0.8200007 & 9.159974e+01 & 2.829323e+02 & 2.430035e+02 & 4.828101e+01 &   1607.00720 & 1.389127e+03 & 1.591756e+03 & 1.204848e+03 & 5.413561e+02 & 1.806369e+02 & 1.855299e+02 & 3.230615e+03 & 1.542818e+03 & 4.943333e+03\\\\\n",
       "\tERCC5 & 1.429116e+04 & 4.316268e+03 &  286.9195300 & 5.267087e+03 & 1.476100e+03 & 1.000314e+04 & 4.229487e+03 &  25391.76800 & 1.200387e+04 & 1.974760e+04 & 1.628994e+04 & 1.154108e+04 & 1.549899e+03 & 2.924160e+03 & 3.453982e+04 & 7.504152e+03 & 1.394460e+04\\\\\n",
       "\tGPR98 & 3.575000e+01 & 7.599752e+02 &   14.4206230 & 2.268010e+01 & 4.947156e+01 & 0.000000e+00 & 2.203995e+01 &    231.31783 & 5.699179e+02 & 6.705617e+02 & 1.850871e+03 & 1.978098e+02 & 0.000000e+00 & 7.060028e+00 & 4.017858e+02 & 1.141205e+03 & 2.883768e+02\\\\\n",
       "\tRXFP3 & 0.000000e+00 & 1.899987e+00 &    0.0000000 & 2.079081e+01 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 &      0.00000 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 5.370030e+00 & 3.310000e+02\\\\\n",
       "\tCTAGE10P & 1.228992e+01 & 3.781910e+01 &    0.0000000 & 3.359997e+00 & 4.299988e-01 & 8.500373e-01 & 3.911443e+02 &      8.28994 & 1.219978e+00 & 2.811963e+01 & 1.043990e+01 & 6.900011e-01 & 3.630016e+00 & 3.299982e-01 & 2.079996e+01 & 3.294927e+01 & 5.939998e+00\\\\\n",
       "\tAPBB2 & 1.098265e+03 & 5.802596e+03 &    0.1500019 & 1.334306e+03 & 3.797506e+02 & 3.118985e+01 & 1.011542e+03 &   3932.54610 & 1.160985e+04 & 3.259392e+03 & 3.258684e+03 & 4.012783e+03 & 9.600167e-01 & 1.639026e+03 & 6.455190e+03 & 4.943554e+03 & 1.110585e+04\\\\\n",
       "\tKLHL13 & 7.833956e+02 & 6.265801e+03 &    0.0000000 & 6.332912e+02 & 0.000000e+00 & 6.899962e+00 & 2.287573e+02 &   5677.46900 & 4.563820e+03 & 1.210085e+03 & 6.725532e+03 & 7.172827e+03 & 0.000000e+00 & 7.030565e+02 & 5.692439e+03 & 2.048362e+03 & 9.783947e+03\\\\\n",
       "\tPDCL3 & 9.541015e+04 & 1.645819e+04 &  807.3194600 & 5.930392e+03 & 4.686716e+03 & 9.222366e+04 & 2.510847e+04 & 149163.61000 & 7.802890e+04 & 9.553759e+04 & 8.441038e+04 & 1.448408e+04 & 4.968455e+03 & 1.580219e+04 & 1.210459e+05 & 4.595086e+04 & 5.158208e+04\\\\\n",
       "\tAEN & 3.764164e+03 & 9.985802e+03 &    0.0000000 & 4.993507e+03 & 2.296040e+03 & 7.712596e+03 & 3.785534e+03 &  16867.36500 & 7.023079e+03 & 2.038452e+04 & 1.600387e+04 & 3.052914e+03 & 1.549382e+03 & 5.534039e+03 & 2.178490e+04 & 3.797584e+03 & 9.469110e+03\\\\\n",
       "\tFRG2 & 1.700992e+01 & 2.380996e+01 &    0.0000000 & 4.570003e+00 & 3.439968e+00 & 8.749884e+00 & 1.320008e+00 &     28.06995 & 2.805027e+01 & 3.204933e+01 & 1.840993e+01 & 3.869996e+00 & 2.909943e+00 & 2.780001e+00 & 4.431096e+01 & 4.297045e+01 & 4.022024e+01\\\\\n",
       "\tDECR1 & 2.376442e+04 & 3.585029e+04 &  252.4189500 & 1.151869e+04 & 1.156843e+04 & 2.612819e+04 & 7.909833e+03 &  83626.97000 & 7.700456e+04 & 6.723209e+04 & 8.462088e+04 & 4.814307e+04 & 4.289679e+03 & 1.367785e+04 & 7.724688e+04 & 5.074278e+04 & 6.832814e+04\\\\\n",
       "\tSALL1 & 0.000000e+00 & 2.780946e+01 &    0.0000000 & 1.149971e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 &     17.07009 & 0.000000e+00 & 3.551998e+01 & 8.133976e+01 & 1.299978e+00 & 0.000000e+00 & 7.790043e+00 & 5.636044e+01 & 4.952931e+01 & 3.299515e+02\\\\\n",
       "\tGGT3P & 2.349013e+01 & 1.045991e+01 &    0.0000000 & 7.150017e+00 & 1.919052e+01 & 1.645009e+01 & 9.010052e+00 &    119.15067 & 1.709208e+02 & 2.250900e+02 & 8.114347e+02 & 0.000000e+00 & 0.000000e+00 & 1.093009e+01 & 4.342925e+01 & 2.317914e+01 & 2.581955e+01\\\\\n",
       "\tCADM4 & 0.000000e+00 & 3.734154e+02 &    0.0000000 & 0.000000e+00 & 2.651021e+01 & 0.000000e+00 & 3.707953e+01 &     35.86018 & 5.447899e+01 & 5.543212e+02 & 1.039428e+03 & 4.199998e+00 & 0.000000e+00 & 1.080003e+00 & 2.859991e+02 & 1.623393e+02 & 3.362881e+01\\\\\n",
       "\tRPS18 & 5.515396e+05 & 9.791377e+05 & 7243.6157000 & 2.378426e+05 & 1.260426e+05 & 2.864576e+05 & 1.508364e+05 & 952767.90000 & 1.763729e+06 & 1.103297e+06 & 2.430549e+06 & 2.917163e+05 & 2.074357e+05 & 2.713845e+05 & 2.582886e+06 & 2.376494e+06 & 2.575602e+06\\\\\n",
       "\tSLC10A7 & 7.613639e+03 & 3.024228e+03 &    0.0000000 & 9.314135e+02 & 8.652327e+02 & 2.804941e+03 & 2.812584e+02 &   5014.52100 & 4.480615e+03 & 4.903287e+03 & 4.650931e+03 & 1.150552e+03 & 8.078161e+01 & 1.391947e+03 & 4.631855e+03 & 1.795475e+03 & 3.246002e+03\\\\\n",
       "\tCFHR5 & 0.000000e+00 & 0.000000e+00 &    0.0000000 & 0.000000e+00 & 0.000000e+00 & 3.788919e+01 & 0.000000e+00 &    301.12018 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00\\\\\n",
       "\tOR2K2 & 0.000000e+00 & 4.159808e+02 &    0.0000000 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 &     23.51962 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 0.000000e+00 & 7.002889e+01 & 0.000000e+00 & 0.000000e+00\\\\\n",
       "\tBRIX1 & 2.059770e+04 & 3.668720e+04 & 1217.7927000 & 2.481726e+04 & 5.695337e+03 & 1.347237e+04 & 5.092261e+03 &  52758.84000 & 4.486757e+04 & 6.991237e+04 & 2.955088e+05 & 2.527642e+04 & 5.911265e+03 & 1.256421e+04 & 4.983546e+04 & 7.373229e+04 & 3.564225e+04\\\\\n",
       "\t⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\tPHF21A & 2.785616e+03 &   2465.91280 & 0.000000e+00 &  1357.841600 &  1819.64180 & 1.107280e+03 &  1147.473100 & 7.169346e+03 & 1.898656e+03 & 3.129766e+03 & 4.923750e+03 & 1.559459e+03 &   838.89880 & 1.296647e+03 &   4788.48700 &   2568.95680 &   4726.26560\\\\\n",
       "\tFAM49B & 2.887879e+04 &   8723.12100 & 1.652691e+02 &  4233.013700 &  1368.18630 & 1.190668e+04 &  5501.290000 & 3.910534e+04 & 2.667874e+04 & 2.644524e+04 & 3.459950e+04 & 1.244116e+04 &  8946.57200 & 2.807432e+03 &  43619.64500 &  13686.05800 &   9758.94900\\\\\n",
       "\tPNPLA2 & 6.406825e+03 &   6747.79740 & 0.000000e+00 &   467.364440 &   431.47460 & 2.576874e+03 &  1265.915400 & 8.913523e+03 & 6.413581e+03 & 1.495477e+04 & 4.636100e+03 & 1.515057e+03 &   739.19525 & 1.858047e+03 &   9427.20900 &   5586.18260 &  12472.78600\\\\\n",
       "\tCNST & 1.419324e+04 &  10700.34600 & 0.000000e+00 & 10611.299000 &  6413.60450 & 4.782627e+03 &  4974.529300 & 3.320699e+04 & 1.070300e+04 & 2.446137e+04 & 2.406094e+04 & 9.054530e+03 &  2647.36960 & 6.302122e+03 &  23363.98200 &   7524.13600 &  14720.59100\\\\\n",
       "\tERCC2 & 4.703358e+03 &   3811.58840 & 1.800031e-01 &   251.040180 &  1411.57240 & 3.137238e+03 &   794.007260 & 9.578964e+03 & 5.963119e+03 & 6.901427e+03 & 2.122716e+04 & 5.541827e+03 &  1910.91720 & 1.378743e+03 &   5500.87000 &   1651.19800 &   7047.81900\\\\\n",
       "\tEAF2 & 8.833735e+03 &   2928.32280 & 0.000000e+00 & 28308.338000 &  8001.09900 & 1.209764e+03 &  5677.534700 & 7.831238e+03 & 1.396883e+04 & 1.792540e+04 & 7.262530e+03 & 1.731680e+03 &     0.00000 & 4.399019e+01 &  10881.96200 &   4697.97660 &   8998.29700\\\\\n",
       "\tVPS13B & 1.141819e+04 &  20700.21500 & 7.000221e-02 &  4339.047000 &  1251.96770 & 8.481343e+03 &  1975.022700 & 1.791523e+04 & 9.322408e+03 & 1.058693e+04 & 2.272495e+04 & 4.572974e+03 &  4248.84800 & 3.254477e+03 &  29343.76400 &  12325.60450 &  23259.63700\\\\\n",
       "\tTP53TG3B & 2.198953e+01 &     65.51089 & 0.000000e+00 &     0.000000 &     0.00000 & 0.000000e+00 &     3.770014 & 0.000000e+00 & 2.334006e+02 & 1.272058e+01 & 1.910486e+03 & 1.658620e+02 &    11.50989 & 0.000000e+00 &     13.48924 &   1983.22900 &    143.55667\\\\\n",
       "\tC14orf101 & 5.866090e+02 &   2405.98120 & 0.000000e+00 &  1212.932500 &   294.52264 & 1.606346e+03 &   244.614180 & 3.314913e+03 & 2.416051e+03 & 7.677666e+03 & 6.378080e+03 & 1.373644e+03 &   752.73975 & 2.494215e+02 &   3233.04740 &   1825.19090 &   3653.94680\\\\\n",
       "\tST18 & 1.470037e+00 &     54.82828 & 0.000000e+00 &     0.000000 &     0.00000 & 0.000000e+00 &     0.000000 & 8.800109e-01 & 1.900024e+00 & 1.090005e+00 & 1.009969e+00 & 0.000000e+00 &     0.00000 & 2.999976e-01 &      0.00000 &    112.08805 &      0.00000\\\\\n",
       "\tPSMB9 & 1.633646e+05 &  60906.75400 & 1.240187e+03 & 57872.098000 & 51051.28500 & 1.020057e+05 & 50061.180000 & 3.471429e+05 & 3.109653e+05 & 2.573806e+05 & 8.103005e+04 & 1.055394e+05 & 25334.61500 & 1.851262e+04 & 213429.92000 & 133665.64000 & 107391.86000\\\\\n",
       "\tADRBK2 & 1.494987e+03 &   1705.35670 & 1.430005e+00 &  1199.509800 &   847.10090 & 6.456715e+02 &  3412.300800 & 2.313894e+03 & 1.356032e+03 & 1.297096e+03 & 4.818161e+03 & 9.242383e+02 &   692.25420 & 4.679573e+02 &   2127.50780 &   2290.74900 &   1718.12830\\\\\n",
       "\tHCLS1 & 1.310256e+05 &   7482.22700 & 0.000000e+00 & 21657.566000 &  5521.06500 & 6.219002e+04 & 23670.360000 & 2.171862e+05 & 4.235679e+04 & 1.428008e+05 & 6.292557e+02 & 9.477089e+03 & 14032.35900 & 1.419987e+03 & 106412.08600 &  13576.86500 &  15264.25300\\\\\n",
       "\tGPR15 & 4.572777e+04 &    159.29881 & 0.000000e+00 &  1118.655300 &   516.29510 & 3.693806e+03 &  2028.692000 & 5.196366e+03 & 2.198426e+04 & 2.800841e+04 & 0.000000e+00 & 3.529983e+00 &  1795.25180 & 0.000000e+00 &  30856.31200 &      0.00000 &   1708.52370\\\\\n",
       "\tLOC100093631 & 5.909958e+00 &    751.74750 & 0.000000e+00 &    13.440446 &     0.00000 & 2.199990e+00 &     1.409965 & 9.985082e+01 & 4.031601e+02 & 1.470019e+00 & 2.261848e+02 & 9.520918e+01 &     0.00000 & 0.000000e+00 &    165.94737 &     72.79894 &     59.42855\\\\\n",
       "\tCSF2 & 0.000000e+00 &      0.00000 & 0.000000e+00 &     0.000000 &  2373.17240 & 1.525363e+03 &     0.000000 & 3.151343e+04 & 1.037227e+04 & 6.608776e+03 & 1.309800e+02 & 1.851441e+03 &  1201.45750 & 3.469129e+02 &   2793.67240 &     40.31889 &    143.04771\\\\\n",
       "\tSLC2A11 & 1.361599e+03 &    376.43848 & 0.000000e+00 &    23.189312 &   217.70990 & 1.397004e+01 &   356.625820 & 2.499717e+03 & 2.503753e+02 & 1.785124e+03 & 2.595086e+03 & 4.655780e+02 &    69.11841 & 3.156334e+02 &   1713.76680 &   1270.78280 &   1640.68730\\\\\n",
       "\tSELO & 5.937259e+03 &   3822.29370 & 1.999989e-01 &   311.779400 &   349.04633 & 8.519461e+02 &  1732.591600 & 9.942472e+03 & 2.789003e+03 & 6.802198e+03 & 9.180138e+03 & 1.484590e+03 &   125.31033 & 3.261411e+02 &   6653.56540 &   2763.76100 &   3907.53320\\\\\n",
       "\tGRIP2 & 4.110059e+00 &    186.21004 & 0.000000e+00 &     9.560022 &    67.83949 & 3.463443e+02 &   248.402710 & 8.577499e+02 & 4.400080e+01 & 1.769888e+02 & 2.443686e+02 & 5.155981e+02 &     0.00000 & 5.343126e+02 &   2746.33060 &    777.83350 &   4431.18800\\\\\n",
       "\tGOLGA8B & 2.575175e+04 &   5799.45360 & 5.999981e-01 &  6776.031200 &  2118.90770 & 9.052661e+03 &  4164.759000 & 3.332033e+04 & 1.242805e+04 & 2.609591e+04 & 8.185414e+03 & 1.912410e+03 &  6567.11670 & 8.867165e+02 &  13128.73400 &   5051.83350 &   4139.19000\\\\\n",
       "\tMIR4691 & 9.995185e+01 &      0.00000 & 0.000000e+00 &     0.000000 &   133.69122 & 9.077040e+01 &     0.000000 & 3.399051e+02 & 0.000000e+00 & 3.493870e+02 & 1.528983e+02 & 0.000000e+00 &     0.00000 & 0.000000e+00 &     53.77098 &      0.00000 &      0.00000\\\\\n",
       "\tGPLD1 & 5.329692e+02 &   5316.55000 & 3.259987e+00 &   649.672100 &   354.30823 & 2.797801e+02 &    99.890150 & 1.490402e+03 & 1.796011e+03 & 1.053060e+03 & 3.024134e+03 & 1.151598e+02 &    30.20993 & 8.662934e+01 &    837.42090 &   1552.17630 &   1489.76050\\\\\n",
       "\tRAB8A & 4.477133e+04 &  34835.39000 & 1.434918e+03 & 15174.484000 & 21177.67000 & 3.262269e+04 & 22997.420000 & 8.039070e+04 & 8.160174e+04 & 8.708536e+04 & 6.176265e+04 & 2.929811e+04 &  4543.48900 & 1.285601e+04 &  71735.91000 &  29233.26200 &  37442.30500\\\\\n",
       "\tRXFP2 & 0.000000e+00 &      0.00000 & 0.000000e+00 &     0.000000 &     0.00000 & 7.830041e+00 &     0.000000 & 0.000000e+00 & 0.000000e+00 & 9.739973e+00 & 0.000000e+00 & 0.000000e+00 &     0.00000 & 0.000000e+00 &     35.03108 &      0.00000 &      0.00000\\\\\n",
       "\tPCIF1 & 3.149026e+04 &  17626.15200 & 0.000000e+00 &  9082.962000 &  6226.81200 & 1.930225e+04 &  7737.860000 & 5.035919e+04 & 2.443842e+04 & 4.549898e+04 & 6.625304e+04 & 2.585876e+04 &  6759.62600 & 1.253416e+04 &  56911.48400 &  28741.54300 &  60669.24600\\\\\n",
       "\tPIK3IP1 & 1.863332e+05 &  14208.05900 & 4.032947e+02 & 29109.057000 &  4307.40870 & 1.084564e+05 & 18721.611000 & 1.729337e+05 & 1.042528e+05 & 2.392860e+05 & 3.945488e+04 & 1.807997e+04 & 32542.47700 & 1.275807e+04 &  88065.61000 &  30373.40000 &  20025.50400\\\\\n",
       "\tSNRPD2 & 8.529338e+04 & 197277.23000 & 1.141904e+03 & 31922.809000 & 24080.49000 & 4.358167e+04 & 17348.338000 & 2.193041e+05 & 2.777645e+05 & 2.228660e+05 & 4.953930e+05 & 1.060863e+05 &  9695.93700 & 3.380782e+04 & 221051.25000 & 162435.40000 & 135079.60000\\\\\n",
       "\tSLC39A6 & 9.174784e+03 &  14388.79400 & 0.000000e+00 &  3801.234900 &  8926.33000 & 9.287675e+03 &  3642.337200 & 3.173225e+04 & 8.406950e+04 & 1.759206e+04 & 2.401198e+04 & 1.677840e+04 &   176.35738 & 7.616164e+03 &  27308.04000 &  14618.60300 &  29844.93200\\\\\n",
       "\tCTSC & 5.632757e+04 &  58540.68400 & 2.372357e+02 &  5295.908000 & 10849.47800 & 3.566932e+04 & 16689.566000 & 1.341342e+05 & 1.030296e+05 & 1.578511e+05 & 6.225788e+04 & 3.001467e+04 & 20414.51800 & 1.459615e+04 &  98593.85000 &  38989.60500 &  55207.69500\\\\\n",
       "\tAQP7 & 5.495626e+02 &    138.92795 & 0.000000e+00 &     0.000000 &     0.00000 & 7.689951e+00 &     0.000000 & 1.451950e+02 & 2.719911e+01 & 6.721066e+01 & 0.000000e+00 & 1.367066e+01 &     0.00000 & 4.460007e+01 &    166.57741 &    338.92465 &   2320.10820\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 21437 × 17 of type dbl\n",
       "\n",
       "| <!--/--> | 0 | 6 | 7 | 8 | 10 | 12 | 13 | 16 | 17 | 18 | 20 | 22 | 23 | 24 | 25 | 26 | 28 |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| C9orf152 | 1.070037e+00 | 1.508991e+01 |    0.0000000 | 2.279995e+00 | 1.639991e+00 | 8.599691e-01 | 0.000000e+00 |     10.99998 | 4.891164e+01 | 1.230470e+03 | 1.507339e+03 | 0.000000e+00 | 0.000000e+00 | 2.289605e+02 | 1.221594e+02 | 1.192603e+02 | 1.814678e+02 |\n",
       "| RPS11 | 1.275161e+05 | 7.974094e+05 | 4896.8430000 | 1.064200e+05 | 7.266568e+04 | 9.393514e+04 | 5.405674e+04 | 384059.34000 | 4.115924e+05 | 3.891496e+05 | 5.296316e+05 | 1.204831e+05 | 5.868307e+04 | 9.821073e+04 | 7.138691e+05 | 5.262558e+05 | 6.779932e+05 |\n",
       "| ELMO2 | 2.767269e+04 | 6.884133e+03 |  564.2151000 | 3.875414e+03 | 6.922304e+02 | 8.867369e+03 | 3.024252e+03 |  32923.88300 | 8.504071e+03 | 2.942944e+04 | 2.070846e+04 | 1.040327e+04 | 3.061067e+03 | 5.982114e+03 | 2.147233e+04 | 1.237756e+04 | 1.965770e+04 |\n",
       "| CREB3L1 | 0.000000e+00 | 2.057793e+03 |    0.0000000 | 2.921787e+02 | 8.500061e+00 | 0.000000e+00 | 1.591715e+02 |    713.27423 | 4.292734e+02 | 4.853104e+03 | 2.129528e+02 | 0.000000e+00 | 0.000000e+00 | 1.796432e+03 | 3.752578e+02 | 9.579015e+01 | 4.198079e+02 |\n",
       "| PNMA1 | 2.019244e+04 | 1.451641e+04 |    0.0000000 | 3.218139e+03 | 1.550611e+03 | 1.268123e+03 | 5.194913e+03 |  22012.36500 | 5.188560e+03 | 1.953822e+04 | 3.255594e+04 | 8.768883e+03 | 2.480035e+03 | 2.192352e+04 | 5.201470e+04 | 2.409740e+04 | 3.207814e+04 |\n",
       "| MMP2 | 1.101702e+04 | 1.038967e+05 |  284.7255000 | 2.957900e+04 | 3.208519e+04 | 5.839996e+00 | 4.567533e+03 | 111500.41400 | 2.596102e+04 | 9.769238e+04 | 1.054272e+04 | 3.243024e+04 | 0.000000e+00 | 3.103706e+05 | 1.566829e+05 | 3.642877e+04 | 1.833810e+05 |\n",
       "| TMEM216 | 7.929176e+03 | 9.550964e+03 |    0.0000000 | 2.594957e+03 | 3.702407e+03 | 2.576449e+03 | 3.687958e+03 |  25225.04100 | 1.056333e+04 | 1.286582e+04 | 4.574459e+04 | 5.642994e+03 | 5.725101e+03 | 2.809362e+03 | 2.609709e+04 | 1.667838e+04 | 1.644025e+04 |\n",
       "| TRAF3IP2-AS1 | 1.914830e+03 | 3.460022e+03 |    5.1099440 | 5.730051e+02 | 3.277422e+02 | 4.799390e+02 | 5.162864e+02 |   4966.55600 | 1.529795e+03 | 1.925030e+03 | 3.372981e+03 | 2.539174e+03 | 6.034418e+02 | 4.107117e+02 | 7.182193e+03 | 4.218196e+03 | 6.918118e+03 |\n",
       "| LRRC37A5P | 0.000000e+00 | 9.110051e+00 |    0.0000000 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |      0.00000 | 0.000000e+00 | 0.000000e+00 | 2.349991e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |\n",
       "| LOC653712 | 4.401727e+02 | 2.159972e+02 |    0.4000034 | 2.891998e+01 | 2.705996e+01 | 8.368912e+01 | 1.314990e+01 |   1015.33230 | 3.334766e+02 | 3.812844e+02 | 1.028272e+03 | 3.752003e+01 | 2.216004e+01 | 2.041402e+02 | 1.019929e+03 | 7.229066e+02 | 4.694138e+02 |\n",
       "| C10orf90 | 0.000000e+00 | 7.940326e+03 |    0.0000000 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |     77.19225 | 4.260136e+01 | 5.230043e+00 | 1.081520e+03 | 0.000000e+00 | 0.000000e+00 | 8.899701e-01 | 2.521036e+01 | 0.000000e+00 | 1.328845e+03 |\n",
       "| ZHX3 | 4.164563e+02 | 2.276368e+03 |    0.8200007 | 9.159974e+01 | 2.829323e+02 | 2.430035e+02 | 4.828101e+01 |   1607.00720 | 1.389127e+03 | 1.591756e+03 | 1.204848e+03 | 5.413561e+02 | 1.806369e+02 | 1.855299e+02 | 3.230615e+03 | 1.542818e+03 | 4.943333e+03 |\n",
       "| ERCC5 | 1.429116e+04 | 4.316268e+03 |  286.9195300 | 5.267087e+03 | 1.476100e+03 | 1.000314e+04 | 4.229487e+03 |  25391.76800 | 1.200387e+04 | 1.974760e+04 | 1.628994e+04 | 1.154108e+04 | 1.549899e+03 | 2.924160e+03 | 3.453982e+04 | 7.504152e+03 | 1.394460e+04 |\n",
       "| GPR98 | 3.575000e+01 | 7.599752e+02 |   14.4206230 | 2.268010e+01 | 4.947156e+01 | 0.000000e+00 | 2.203995e+01 |    231.31783 | 5.699179e+02 | 6.705617e+02 | 1.850871e+03 | 1.978098e+02 | 0.000000e+00 | 7.060028e+00 | 4.017858e+02 | 1.141205e+03 | 2.883768e+02 |\n",
       "| RXFP3 | 0.000000e+00 | 1.899987e+00 |    0.0000000 | 2.079081e+01 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |      0.00000 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 5.370030e+00 | 3.310000e+02 |\n",
       "| CTAGE10P | 1.228992e+01 | 3.781910e+01 |    0.0000000 | 3.359997e+00 | 4.299988e-01 | 8.500373e-01 | 3.911443e+02 |      8.28994 | 1.219978e+00 | 2.811963e+01 | 1.043990e+01 | 6.900011e-01 | 3.630016e+00 | 3.299982e-01 | 2.079996e+01 | 3.294927e+01 | 5.939998e+00 |\n",
       "| APBB2 | 1.098265e+03 | 5.802596e+03 |    0.1500019 | 1.334306e+03 | 3.797506e+02 | 3.118985e+01 | 1.011542e+03 |   3932.54610 | 1.160985e+04 | 3.259392e+03 | 3.258684e+03 | 4.012783e+03 | 9.600167e-01 | 1.639026e+03 | 6.455190e+03 | 4.943554e+03 | 1.110585e+04 |\n",
       "| KLHL13 | 7.833956e+02 | 6.265801e+03 |    0.0000000 | 6.332912e+02 | 0.000000e+00 | 6.899962e+00 | 2.287573e+02 |   5677.46900 | 4.563820e+03 | 1.210085e+03 | 6.725532e+03 | 7.172827e+03 | 0.000000e+00 | 7.030565e+02 | 5.692439e+03 | 2.048362e+03 | 9.783947e+03 |\n",
       "| PDCL3 | 9.541015e+04 | 1.645819e+04 |  807.3194600 | 5.930392e+03 | 4.686716e+03 | 9.222366e+04 | 2.510847e+04 | 149163.61000 | 7.802890e+04 | 9.553759e+04 | 8.441038e+04 | 1.448408e+04 | 4.968455e+03 | 1.580219e+04 | 1.210459e+05 | 4.595086e+04 | 5.158208e+04 |\n",
       "| AEN | 3.764164e+03 | 9.985802e+03 |    0.0000000 | 4.993507e+03 | 2.296040e+03 | 7.712596e+03 | 3.785534e+03 |  16867.36500 | 7.023079e+03 | 2.038452e+04 | 1.600387e+04 | 3.052914e+03 | 1.549382e+03 | 5.534039e+03 | 2.178490e+04 | 3.797584e+03 | 9.469110e+03 |\n",
       "| FRG2 | 1.700992e+01 | 2.380996e+01 |    0.0000000 | 4.570003e+00 | 3.439968e+00 | 8.749884e+00 | 1.320008e+00 |     28.06995 | 2.805027e+01 | 3.204933e+01 | 1.840993e+01 | 3.869996e+00 | 2.909943e+00 | 2.780001e+00 | 4.431096e+01 | 4.297045e+01 | 4.022024e+01 |\n",
       "| DECR1 | 2.376442e+04 | 3.585029e+04 |  252.4189500 | 1.151869e+04 | 1.156843e+04 | 2.612819e+04 | 7.909833e+03 |  83626.97000 | 7.700456e+04 | 6.723209e+04 | 8.462088e+04 | 4.814307e+04 | 4.289679e+03 | 1.367785e+04 | 7.724688e+04 | 5.074278e+04 | 6.832814e+04 |\n",
       "| SALL1 | 0.000000e+00 | 2.780946e+01 |    0.0000000 | 1.149971e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |     17.07009 | 0.000000e+00 | 3.551998e+01 | 8.133976e+01 | 1.299978e+00 | 0.000000e+00 | 7.790043e+00 | 5.636044e+01 | 4.952931e+01 | 3.299515e+02 |\n",
       "| GGT3P | 2.349013e+01 | 1.045991e+01 |    0.0000000 | 7.150017e+00 | 1.919052e+01 | 1.645009e+01 | 9.010052e+00 |    119.15067 | 1.709208e+02 | 2.250900e+02 | 8.114347e+02 | 0.000000e+00 | 0.000000e+00 | 1.093009e+01 | 4.342925e+01 | 2.317914e+01 | 2.581955e+01 |\n",
       "| CADM4 | 0.000000e+00 | 3.734154e+02 |    0.0000000 | 0.000000e+00 | 2.651021e+01 | 0.000000e+00 | 3.707953e+01 |     35.86018 | 5.447899e+01 | 5.543212e+02 | 1.039428e+03 | 4.199998e+00 | 0.000000e+00 | 1.080003e+00 | 2.859991e+02 | 1.623393e+02 | 3.362881e+01 |\n",
       "| RPS18 | 5.515396e+05 | 9.791377e+05 | 7243.6157000 | 2.378426e+05 | 1.260426e+05 | 2.864576e+05 | 1.508364e+05 | 952767.90000 | 1.763729e+06 | 1.103297e+06 | 2.430549e+06 | 2.917163e+05 | 2.074357e+05 | 2.713845e+05 | 2.582886e+06 | 2.376494e+06 | 2.575602e+06 |\n",
       "| SLC10A7 | 7.613639e+03 | 3.024228e+03 |    0.0000000 | 9.314135e+02 | 8.652327e+02 | 2.804941e+03 | 2.812584e+02 |   5014.52100 | 4.480615e+03 | 4.903287e+03 | 4.650931e+03 | 1.150552e+03 | 8.078161e+01 | 1.391947e+03 | 4.631855e+03 | 1.795475e+03 | 3.246002e+03 |\n",
       "| CFHR5 | 0.000000e+00 | 0.000000e+00 |    0.0000000 | 0.000000e+00 | 0.000000e+00 | 3.788919e+01 | 0.000000e+00 |    301.12018 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |\n",
       "| OR2K2 | 0.000000e+00 | 4.159808e+02 |    0.0000000 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |     23.51962 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 7.002889e+01 | 0.000000e+00 | 0.000000e+00 |\n",
       "| BRIX1 | 2.059770e+04 | 3.668720e+04 | 1217.7927000 | 2.481726e+04 | 5.695337e+03 | 1.347237e+04 | 5.092261e+03 |  52758.84000 | 4.486757e+04 | 6.991237e+04 | 2.955088e+05 | 2.527642e+04 | 5.911265e+03 | 1.256421e+04 | 4.983546e+04 | 7.373229e+04 | 3.564225e+04 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| PHF21A | 2.785616e+03 |   2465.91280 | 0.000000e+00 |  1357.841600 |  1819.64180 | 1.107280e+03 |  1147.473100 | 7.169346e+03 | 1.898656e+03 | 3.129766e+03 | 4.923750e+03 | 1.559459e+03 |   838.89880 | 1.296647e+03 |   4788.48700 |   2568.95680 |   4726.26560 |\n",
       "| FAM49B | 2.887879e+04 |   8723.12100 | 1.652691e+02 |  4233.013700 |  1368.18630 | 1.190668e+04 |  5501.290000 | 3.910534e+04 | 2.667874e+04 | 2.644524e+04 | 3.459950e+04 | 1.244116e+04 |  8946.57200 | 2.807432e+03 |  43619.64500 |  13686.05800 |   9758.94900 |\n",
       "| PNPLA2 | 6.406825e+03 |   6747.79740 | 0.000000e+00 |   467.364440 |   431.47460 | 2.576874e+03 |  1265.915400 | 8.913523e+03 | 6.413581e+03 | 1.495477e+04 | 4.636100e+03 | 1.515057e+03 |   739.19525 | 1.858047e+03 |   9427.20900 |   5586.18260 |  12472.78600 |\n",
       "| CNST | 1.419324e+04 |  10700.34600 | 0.000000e+00 | 10611.299000 |  6413.60450 | 4.782627e+03 |  4974.529300 | 3.320699e+04 | 1.070300e+04 | 2.446137e+04 | 2.406094e+04 | 9.054530e+03 |  2647.36960 | 6.302122e+03 |  23363.98200 |   7524.13600 |  14720.59100 |\n",
       "| ERCC2 | 4.703358e+03 |   3811.58840 | 1.800031e-01 |   251.040180 |  1411.57240 | 3.137238e+03 |   794.007260 | 9.578964e+03 | 5.963119e+03 | 6.901427e+03 | 2.122716e+04 | 5.541827e+03 |  1910.91720 | 1.378743e+03 |   5500.87000 |   1651.19800 |   7047.81900 |\n",
       "| EAF2 | 8.833735e+03 |   2928.32280 | 0.000000e+00 | 28308.338000 |  8001.09900 | 1.209764e+03 |  5677.534700 | 7.831238e+03 | 1.396883e+04 | 1.792540e+04 | 7.262530e+03 | 1.731680e+03 |     0.00000 | 4.399019e+01 |  10881.96200 |   4697.97660 |   8998.29700 |\n",
       "| VPS13B | 1.141819e+04 |  20700.21500 | 7.000221e-02 |  4339.047000 |  1251.96770 | 8.481343e+03 |  1975.022700 | 1.791523e+04 | 9.322408e+03 | 1.058693e+04 | 2.272495e+04 | 4.572974e+03 |  4248.84800 | 3.254477e+03 |  29343.76400 |  12325.60450 |  23259.63700 |\n",
       "| TP53TG3B | 2.198953e+01 |     65.51089 | 0.000000e+00 |     0.000000 |     0.00000 | 0.000000e+00 |     3.770014 | 0.000000e+00 | 2.334006e+02 | 1.272058e+01 | 1.910486e+03 | 1.658620e+02 |    11.50989 | 0.000000e+00 |     13.48924 |   1983.22900 |    143.55667 |\n",
       "| C14orf101 | 5.866090e+02 |   2405.98120 | 0.000000e+00 |  1212.932500 |   294.52264 | 1.606346e+03 |   244.614180 | 3.314913e+03 | 2.416051e+03 | 7.677666e+03 | 6.378080e+03 | 1.373644e+03 |   752.73975 | 2.494215e+02 |   3233.04740 |   1825.19090 |   3653.94680 |\n",
       "| ST18 | 1.470037e+00 |     54.82828 | 0.000000e+00 |     0.000000 |     0.00000 | 0.000000e+00 |     0.000000 | 8.800109e-01 | 1.900024e+00 | 1.090005e+00 | 1.009969e+00 | 0.000000e+00 |     0.00000 | 2.999976e-01 |      0.00000 |    112.08805 |      0.00000 |\n",
       "| PSMB9 | 1.633646e+05 |  60906.75400 | 1.240187e+03 | 57872.098000 | 51051.28500 | 1.020057e+05 | 50061.180000 | 3.471429e+05 | 3.109653e+05 | 2.573806e+05 | 8.103005e+04 | 1.055394e+05 | 25334.61500 | 1.851262e+04 | 213429.92000 | 133665.64000 | 107391.86000 |\n",
       "| ADRBK2 | 1.494987e+03 |   1705.35670 | 1.430005e+00 |  1199.509800 |   847.10090 | 6.456715e+02 |  3412.300800 | 2.313894e+03 | 1.356032e+03 | 1.297096e+03 | 4.818161e+03 | 9.242383e+02 |   692.25420 | 4.679573e+02 |   2127.50780 |   2290.74900 |   1718.12830 |\n",
       "| HCLS1 | 1.310256e+05 |   7482.22700 | 0.000000e+00 | 21657.566000 |  5521.06500 | 6.219002e+04 | 23670.360000 | 2.171862e+05 | 4.235679e+04 | 1.428008e+05 | 6.292557e+02 | 9.477089e+03 | 14032.35900 | 1.419987e+03 | 106412.08600 |  13576.86500 |  15264.25300 |\n",
       "| GPR15 | 4.572777e+04 |    159.29881 | 0.000000e+00 |  1118.655300 |   516.29510 | 3.693806e+03 |  2028.692000 | 5.196366e+03 | 2.198426e+04 | 2.800841e+04 | 0.000000e+00 | 3.529983e+00 |  1795.25180 | 0.000000e+00 |  30856.31200 |      0.00000 |   1708.52370 |\n",
       "| LOC100093631 | 5.909958e+00 |    751.74750 | 0.000000e+00 |    13.440446 |     0.00000 | 2.199990e+00 |     1.409965 | 9.985082e+01 | 4.031601e+02 | 1.470019e+00 | 2.261848e+02 | 9.520918e+01 |     0.00000 | 0.000000e+00 |    165.94737 |     72.79894 |     59.42855 |\n",
       "| CSF2 | 0.000000e+00 |      0.00000 | 0.000000e+00 |     0.000000 |  2373.17240 | 1.525363e+03 |     0.000000 | 3.151343e+04 | 1.037227e+04 | 6.608776e+03 | 1.309800e+02 | 1.851441e+03 |  1201.45750 | 3.469129e+02 |   2793.67240 |     40.31889 |    143.04771 |\n",
       "| SLC2A11 | 1.361599e+03 |    376.43848 | 0.000000e+00 |    23.189312 |   217.70990 | 1.397004e+01 |   356.625820 | 2.499717e+03 | 2.503753e+02 | 1.785124e+03 | 2.595086e+03 | 4.655780e+02 |    69.11841 | 3.156334e+02 |   1713.76680 |   1270.78280 |   1640.68730 |\n",
       "| SELO | 5.937259e+03 |   3822.29370 | 1.999989e-01 |   311.779400 |   349.04633 | 8.519461e+02 |  1732.591600 | 9.942472e+03 | 2.789003e+03 | 6.802198e+03 | 9.180138e+03 | 1.484590e+03 |   125.31033 | 3.261411e+02 |   6653.56540 |   2763.76100 |   3907.53320 |\n",
       "| GRIP2 | 4.110059e+00 |    186.21004 | 0.000000e+00 |     9.560022 |    67.83949 | 3.463443e+02 |   248.402710 | 8.577499e+02 | 4.400080e+01 | 1.769888e+02 | 2.443686e+02 | 5.155981e+02 |     0.00000 | 5.343126e+02 |   2746.33060 |    777.83350 |   4431.18800 |\n",
       "| GOLGA8B | 2.575175e+04 |   5799.45360 | 5.999981e-01 |  6776.031200 |  2118.90770 | 9.052661e+03 |  4164.759000 | 3.332033e+04 | 1.242805e+04 | 2.609591e+04 | 8.185414e+03 | 1.912410e+03 |  6567.11670 | 8.867165e+02 |  13128.73400 |   5051.83350 |   4139.19000 |\n",
       "| MIR4691 | 9.995185e+01 |      0.00000 | 0.000000e+00 |     0.000000 |   133.69122 | 9.077040e+01 |     0.000000 | 3.399051e+02 | 0.000000e+00 | 3.493870e+02 | 1.528983e+02 | 0.000000e+00 |     0.00000 | 0.000000e+00 |     53.77098 |      0.00000 |      0.00000 |\n",
       "| GPLD1 | 5.329692e+02 |   5316.55000 | 3.259987e+00 |   649.672100 |   354.30823 | 2.797801e+02 |    99.890150 | 1.490402e+03 | 1.796011e+03 | 1.053060e+03 | 3.024134e+03 | 1.151598e+02 |    30.20993 | 8.662934e+01 |    837.42090 |   1552.17630 |   1489.76050 |\n",
       "| RAB8A | 4.477133e+04 |  34835.39000 | 1.434918e+03 | 15174.484000 | 21177.67000 | 3.262269e+04 | 22997.420000 | 8.039070e+04 | 8.160174e+04 | 8.708536e+04 | 6.176265e+04 | 2.929811e+04 |  4543.48900 | 1.285601e+04 |  71735.91000 |  29233.26200 |  37442.30500 |\n",
       "| RXFP2 | 0.000000e+00 |      0.00000 | 0.000000e+00 |     0.000000 |     0.00000 | 7.830041e+00 |     0.000000 | 0.000000e+00 | 0.000000e+00 | 9.739973e+00 | 0.000000e+00 | 0.000000e+00 |     0.00000 | 0.000000e+00 |     35.03108 |      0.00000 |      0.00000 |\n",
       "| PCIF1 | 3.149026e+04 |  17626.15200 | 0.000000e+00 |  9082.962000 |  6226.81200 | 1.930225e+04 |  7737.860000 | 5.035919e+04 | 2.443842e+04 | 4.549898e+04 | 6.625304e+04 | 2.585876e+04 |  6759.62600 | 1.253416e+04 |  56911.48400 |  28741.54300 |  60669.24600 |\n",
       "| PIK3IP1 | 1.863332e+05 |  14208.05900 | 4.032947e+02 | 29109.057000 |  4307.40870 | 1.084564e+05 | 18721.611000 | 1.729337e+05 | 1.042528e+05 | 2.392860e+05 | 3.945488e+04 | 1.807997e+04 | 32542.47700 | 1.275807e+04 |  88065.61000 |  30373.40000 |  20025.50400 |\n",
       "| SNRPD2 | 8.529338e+04 | 197277.23000 | 1.141904e+03 | 31922.809000 | 24080.49000 | 4.358167e+04 | 17348.338000 | 2.193041e+05 | 2.777645e+05 | 2.228660e+05 | 4.953930e+05 | 1.060863e+05 |  9695.93700 | 3.380782e+04 | 221051.25000 | 162435.40000 | 135079.60000 |\n",
       "| SLC39A6 | 9.174784e+03 |  14388.79400 | 0.000000e+00 |  3801.234900 |  8926.33000 | 9.287675e+03 |  3642.337200 | 3.173225e+04 | 8.406950e+04 | 1.759206e+04 | 2.401198e+04 | 1.677840e+04 |   176.35738 | 7.616164e+03 |  27308.04000 |  14618.60300 |  29844.93200 |\n",
       "| CTSC | 5.632757e+04 |  58540.68400 | 2.372357e+02 |  5295.908000 | 10849.47800 | 3.566932e+04 | 16689.566000 | 1.341342e+05 | 1.030296e+05 | 1.578511e+05 | 6.225788e+04 | 3.001467e+04 | 20414.51800 | 1.459615e+04 |  98593.85000 |  38989.60500 |  55207.69500 |\n",
       "| AQP7 | 5.495626e+02 |    138.92795 | 0.000000e+00 |     0.000000 |     0.00000 | 7.689951e+00 |     0.000000 | 1.451950e+02 | 2.719911e+01 | 6.721066e+01 | 0.000000e+00 | 1.367066e+01 |     0.00000 | 4.460007e+01 |    166.57741 |    338.92465 |   2320.10820 |\n",
       "\n"
      ],
      "text/plain": [
       "             0            6            7            8            10          \n",
       "C9orf152     1.070037e+00 1.508991e+01    0.0000000 2.279995e+00 1.639991e+00\n",
       "RPS11        1.275161e+05 7.974094e+05 4896.8430000 1.064200e+05 7.266568e+04\n",
       "ELMO2        2.767269e+04 6.884133e+03  564.2151000 3.875414e+03 6.922304e+02\n",
       "CREB3L1      0.000000e+00 2.057793e+03    0.0000000 2.921787e+02 8.500061e+00\n",
       "PNMA1        2.019244e+04 1.451641e+04    0.0000000 3.218139e+03 1.550611e+03\n",
       "MMP2         1.101702e+04 1.038967e+05  284.7255000 2.957900e+04 3.208519e+04\n",
       "TMEM216      7.929176e+03 9.550964e+03    0.0000000 2.594957e+03 3.702407e+03\n",
       "TRAF3IP2-AS1 1.914830e+03 3.460022e+03    5.1099440 5.730051e+02 3.277422e+02\n",
       "LRRC37A5P    0.000000e+00 9.110051e+00    0.0000000 0.000000e+00 0.000000e+00\n",
       "LOC653712    4.401727e+02 2.159972e+02    0.4000034 2.891998e+01 2.705996e+01\n",
       "C10orf90     0.000000e+00 7.940326e+03    0.0000000 0.000000e+00 0.000000e+00\n",
       "ZHX3         4.164563e+02 2.276368e+03    0.8200007 9.159974e+01 2.829323e+02\n",
       "ERCC5        1.429116e+04 4.316268e+03  286.9195300 5.267087e+03 1.476100e+03\n",
       "GPR98        3.575000e+01 7.599752e+02   14.4206230 2.268010e+01 4.947156e+01\n",
       "RXFP3        0.000000e+00 1.899987e+00    0.0000000 2.079081e+01 0.000000e+00\n",
       "CTAGE10P     1.228992e+01 3.781910e+01    0.0000000 3.359997e+00 4.299988e-01\n",
       "APBB2        1.098265e+03 5.802596e+03    0.1500019 1.334306e+03 3.797506e+02\n",
       "KLHL13       7.833956e+02 6.265801e+03    0.0000000 6.332912e+02 0.000000e+00\n",
       "PDCL3        9.541015e+04 1.645819e+04  807.3194600 5.930392e+03 4.686716e+03\n",
       "AEN          3.764164e+03 9.985802e+03    0.0000000 4.993507e+03 2.296040e+03\n",
       "FRG2         1.700992e+01 2.380996e+01    0.0000000 4.570003e+00 3.439968e+00\n",
       "DECR1        2.376442e+04 3.585029e+04  252.4189500 1.151869e+04 1.156843e+04\n",
       "SALL1        0.000000e+00 2.780946e+01    0.0000000 1.149971e+00 0.000000e+00\n",
       "GGT3P        2.349013e+01 1.045991e+01    0.0000000 7.150017e+00 1.919052e+01\n",
       "CADM4        0.000000e+00 3.734154e+02    0.0000000 0.000000e+00 2.651021e+01\n",
       "RPS18        5.515396e+05 9.791377e+05 7243.6157000 2.378426e+05 1.260426e+05\n",
       "SLC10A7      7.613639e+03 3.024228e+03    0.0000000 9.314135e+02 8.652327e+02\n",
       "CFHR5        0.000000e+00 0.000000e+00    0.0000000 0.000000e+00 0.000000e+00\n",
       "OR2K2        0.000000e+00 4.159808e+02    0.0000000 0.000000e+00 0.000000e+00\n",
       "BRIX1        2.059770e+04 3.668720e+04 1217.7927000 2.481726e+04 5.695337e+03\n",
       "⋮            ⋮            ⋮            ⋮            ⋮            ⋮           \n",
       "PHF21A       2.785616e+03   2465.91280 0.000000e+00  1357.841600  1819.64180 \n",
       "FAM49B       2.887879e+04   8723.12100 1.652691e+02  4233.013700  1368.18630 \n",
       "PNPLA2       6.406825e+03   6747.79740 0.000000e+00   467.364440   431.47460 \n",
       "CNST         1.419324e+04  10700.34600 0.000000e+00 10611.299000  6413.60450 \n",
       "ERCC2        4.703358e+03   3811.58840 1.800031e-01   251.040180  1411.57240 \n",
       "EAF2         8.833735e+03   2928.32280 0.000000e+00 28308.338000  8001.09900 \n",
       "VPS13B       1.141819e+04  20700.21500 7.000221e-02  4339.047000  1251.96770 \n",
       "TP53TG3B     2.198953e+01     65.51089 0.000000e+00     0.000000     0.00000 \n",
       "C14orf101    5.866090e+02   2405.98120 0.000000e+00  1212.932500   294.52264 \n",
       "ST18         1.470037e+00     54.82828 0.000000e+00     0.000000     0.00000 \n",
       "PSMB9        1.633646e+05  60906.75400 1.240187e+03 57872.098000 51051.28500 \n",
       "ADRBK2       1.494987e+03   1705.35670 1.430005e+00  1199.509800   847.10090 \n",
       "HCLS1        1.310256e+05   7482.22700 0.000000e+00 21657.566000  5521.06500 \n",
       "GPR15        4.572777e+04    159.29881 0.000000e+00  1118.655300   516.29510 \n",
       "LOC100093631 5.909958e+00    751.74750 0.000000e+00    13.440446     0.00000 \n",
       "CSF2         0.000000e+00      0.00000 0.000000e+00     0.000000  2373.17240 \n",
       "SLC2A11      1.361599e+03    376.43848 0.000000e+00    23.189312   217.70990 \n",
       "SELO         5.937259e+03   3822.29370 1.999989e-01   311.779400   349.04633 \n",
       "GRIP2        4.110059e+00    186.21004 0.000000e+00     9.560022    67.83949 \n",
       "GOLGA8B      2.575175e+04   5799.45360 5.999981e-01  6776.031200  2118.90770 \n",
       "MIR4691      9.995185e+01      0.00000 0.000000e+00     0.000000   133.69122 \n",
       "GPLD1        5.329692e+02   5316.55000 3.259987e+00   649.672100   354.30823 \n",
       "RAB8A        4.477133e+04  34835.39000 1.434918e+03 15174.484000 21177.67000 \n",
       "RXFP2        0.000000e+00      0.00000 0.000000e+00     0.000000     0.00000 \n",
       "PCIF1        3.149026e+04  17626.15200 0.000000e+00  9082.962000  6226.81200 \n",
       "PIK3IP1      1.863332e+05  14208.05900 4.032947e+02 29109.057000  4307.40870 \n",
       "SNRPD2       8.529338e+04 197277.23000 1.141904e+03 31922.809000 24080.49000 \n",
       "SLC39A6      9.174784e+03  14388.79400 0.000000e+00  3801.234900  8926.33000 \n",
       "CTSC         5.632757e+04  58540.68400 2.372357e+02  5295.908000 10849.47800 \n",
       "AQP7         5.495626e+02    138.92795 0.000000e+00     0.000000     0.00000 \n",
       "             12           13           16           17           18          \n",
       "C9orf152     8.599691e-01 0.000000e+00     10.99998 4.891164e+01 1.230470e+03\n",
       "RPS11        9.393514e+04 5.405674e+04 384059.34000 4.115924e+05 3.891496e+05\n",
       "ELMO2        8.867369e+03 3.024252e+03  32923.88300 8.504071e+03 2.942944e+04\n",
       "CREB3L1      0.000000e+00 1.591715e+02    713.27423 4.292734e+02 4.853104e+03\n",
       "PNMA1        1.268123e+03 5.194913e+03  22012.36500 5.188560e+03 1.953822e+04\n",
       "MMP2         5.839996e+00 4.567533e+03 111500.41400 2.596102e+04 9.769238e+04\n",
       "TMEM216      2.576449e+03 3.687958e+03  25225.04100 1.056333e+04 1.286582e+04\n",
       "TRAF3IP2-AS1 4.799390e+02 5.162864e+02   4966.55600 1.529795e+03 1.925030e+03\n",
       "LRRC37A5P    0.000000e+00 0.000000e+00      0.00000 0.000000e+00 0.000000e+00\n",
       "LOC653712    8.368912e+01 1.314990e+01   1015.33230 3.334766e+02 3.812844e+02\n",
       "C10orf90     0.000000e+00 0.000000e+00     77.19225 4.260136e+01 5.230043e+00\n",
       "ZHX3         2.430035e+02 4.828101e+01   1607.00720 1.389127e+03 1.591756e+03\n",
       "ERCC5        1.000314e+04 4.229487e+03  25391.76800 1.200387e+04 1.974760e+04\n",
       "GPR98        0.000000e+00 2.203995e+01    231.31783 5.699179e+02 6.705617e+02\n",
       "RXFP3        0.000000e+00 0.000000e+00      0.00000 0.000000e+00 0.000000e+00\n",
       "CTAGE10P     8.500373e-01 3.911443e+02      8.28994 1.219978e+00 2.811963e+01\n",
       "APBB2        3.118985e+01 1.011542e+03   3932.54610 1.160985e+04 3.259392e+03\n",
       "KLHL13       6.899962e+00 2.287573e+02   5677.46900 4.563820e+03 1.210085e+03\n",
       "PDCL3        9.222366e+04 2.510847e+04 149163.61000 7.802890e+04 9.553759e+04\n",
       "AEN          7.712596e+03 3.785534e+03  16867.36500 7.023079e+03 2.038452e+04\n",
       "FRG2         8.749884e+00 1.320008e+00     28.06995 2.805027e+01 3.204933e+01\n",
       "DECR1        2.612819e+04 7.909833e+03  83626.97000 7.700456e+04 6.723209e+04\n",
       "SALL1        0.000000e+00 0.000000e+00     17.07009 0.000000e+00 3.551998e+01\n",
       "GGT3P        1.645009e+01 9.010052e+00    119.15067 1.709208e+02 2.250900e+02\n",
       "CADM4        0.000000e+00 3.707953e+01     35.86018 5.447899e+01 5.543212e+02\n",
       "RPS18        2.864576e+05 1.508364e+05 952767.90000 1.763729e+06 1.103297e+06\n",
       "SLC10A7      2.804941e+03 2.812584e+02   5014.52100 4.480615e+03 4.903287e+03\n",
       "CFHR5        3.788919e+01 0.000000e+00    301.12018 0.000000e+00 0.000000e+00\n",
       "OR2K2        0.000000e+00 0.000000e+00     23.51962 0.000000e+00 0.000000e+00\n",
       "BRIX1        1.347237e+04 5.092261e+03  52758.84000 4.486757e+04 6.991237e+04\n",
       "⋮            ⋮            ⋮            ⋮            ⋮            ⋮           \n",
       "PHF21A       1.107280e+03  1147.473100 7.169346e+03 1.898656e+03 3.129766e+03\n",
       "FAM49B       1.190668e+04  5501.290000 3.910534e+04 2.667874e+04 2.644524e+04\n",
       "PNPLA2       2.576874e+03  1265.915400 8.913523e+03 6.413581e+03 1.495477e+04\n",
       "CNST         4.782627e+03  4974.529300 3.320699e+04 1.070300e+04 2.446137e+04\n",
       "ERCC2        3.137238e+03   794.007260 9.578964e+03 5.963119e+03 6.901427e+03\n",
       "EAF2         1.209764e+03  5677.534700 7.831238e+03 1.396883e+04 1.792540e+04\n",
       "VPS13B       8.481343e+03  1975.022700 1.791523e+04 9.322408e+03 1.058693e+04\n",
       "TP53TG3B     0.000000e+00     3.770014 0.000000e+00 2.334006e+02 1.272058e+01\n",
       "C14orf101    1.606346e+03   244.614180 3.314913e+03 2.416051e+03 7.677666e+03\n",
       "ST18         0.000000e+00     0.000000 8.800109e-01 1.900024e+00 1.090005e+00\n",
       "PSMB9        1.020057e+05 50061.180000 3.471429e+05 3.109653e+05 2.573806e+05\n",
       "ADRBK2       6.456715e+02  3412.300800 2.313894e+03 1.356032e+03 1.297096e+03\n",
       "HCLS1        6.219002e+04 23670.360000 2.171862e+05 4.235679e+04 1.428008e+05\n",
       "GPR15        3.693806e+03  2028.692000 5.196366e+03 2.198426e+04 2.800841e+04\n",
       "LOC100093631 2.199990e+00     1.409965 9.985082e+01 4.031601e+02 1.470019e+00\n",
       "CSF2         1.525363e+03     0.000000 3.151343e+04 1.037227e+04 6.608776e+03\n",
       "SLC2A11      1.397004e+01   356.625820 2.499717e+03 2.503753e+02 1.785124e+03\n",
       "SELO         8.519461e+02  1732.591600 9.942472e+03 2.789003e+03 6.802198e+03\n",
       "GRIP2        3.463443e+02   248.402710 8.577499e+02 4.400080e+01 1.769888e+02\n",
       "GOLGA8B      9.052661e+03  4164.759000 3.332033e+04 1.242805e+04 2.609591e+04\n",
       "MIR4691      9.077040e+01     0.000000 3.399051e+02 0.000000e+00 3.493870e+02\n",
       "GPLD1        2.797801e+02    99.890150 1.490402e+03 1.796011e+03 1.053060e+03\n",
       "RAB8A        3.262269e+04 22997.420000 8.039070e+04 8.160174e+04 8.708536e+04\n",
       "RXFP2        7.830041e+00     0.000000 0.000000e+00 0.000000e+00 9.739973e+00\n",
       "PCIF1        1.930225e+04  7737.860000 5.035919e+04 2.443842e+04 4.549898e+04\n",
       "PIK3IP1      1.084564e+05 18721.611000 1.729337e+05 1.042528e+05 2.392860e+05\n",
       "SNRPD2       4.358167e+04 17348.338000 2.193041e+05 2.777645e+05 2.228660e+05\n",
       "SLC39A6      9.287675e+03  3642.337200 3.173225e+04 8.406950e+04 1.759206e+04\n",
       "CTSC         3.566932e+04 16689.566000 1.341342e+05 1.030296e+05 1.578511e+05\n",
       "AQP7         7.689951e+00     0.000000 1.451950e+02 2.719911e+01 6.721066e+01\n",
       "             20           22           23           24           25          \n",
       "C9orf152     1.507339e+03 0.000000e+00 0.000000e+00 2.289605e+02 1.221594e+02\n",
       "RPS11        5.296316e+05 1.204831e+05 5.868307e+04 9.821073e+04 7.138691e+05\n",
       "ELMO2        2.070846e+04 1.040327e+04 3.061067e+03 5.982114e+03 2.147233e+04\n",
       "CREB3L1      2.129528e+02 0.000000e+00 0.000000e+00 1.796432e+03 3.752578e+02\n",
       "PNMA1        3.255594e+04 8.768883e+03 2.480035e+03 2.192352e+04 5.201470e+04\n",
       "MMP2         1.054272e+04 3.243024e+04 0.000000e+00 3.103706e+05 1.566829e+05\n",
       "TMEM216      4.574459e+04 5.642994e+03 5.725101e+03 2.809362e+03 2.609709e+04\n",
       "TRAF3IP2-AS1 3.372981e+03 2.539174e+03 6.034418e+02 4.107117e+02 7.182193e+03\n",
       "LRRC37A5P    2.349991e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00\n",
       "LOC653712    1.028272e+03 3.752003e+01 2.216004e+01 2.041402e+02 1.019929e+03\n",
       "C10orf90     1.081520e+03 0.000000e+00 0.000000e+00 8.899701e-01 2.521036e+01\n",
       "ZHX3         1.204848e+03 5.413561e+02 1.806369e+02 1.855299e+02 3.230615e+03\n",
       "ERCC5        1.628994e+04 1.154108e+04 1.549899e+03 2.924160e+03 3.453982e+04\n",
       "GPR98        1.850871e+03 1.978098e+02 0.000000e+00 7.060028e+00 4.017858e+02\n",
       "RXFP3        0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00\n",
       "CTAGE10P     1.043990e+01 6.900011e-01 3.630016e+00 3.299982e-01 2.079996e+01\n",
       "APBB2        3.258684e+03 4.012783e+03 9.600167e-01 1.639026e+03 6.455190e+03\n",
       "KLHL13       6.725532e+03 7.172827e+03 0.000000e+00 7.030565e+02 5.692439e+03\n",
       "PDCL3        8.441038e+04 1.448408e+04 4.968455e+03 1.580219e+04 1.210459e+05\n",
       "AEN          1.600387e+04 3.052914e+03 1.549382e+03 5.534039e+03 2.178490e+04\n",
       "FRG2         1.840993e+01 3.869996e+00 2.909943e+00 2.780001e+00 4.431096e+01\n",
       "DECR1        8.462088e+04 4.814307e+04 4.289679e+03 1.367785e+04 7.724688e+04\n",
       "SALL1        8.133976e+01 1.299978e+00 0.000000e+00 7.790043e+00 5.636044e+01\n",
       "GGT3P        8.114347e+02 0.000000e+00 0.000000e+00 1.093009e+01 4.342925e+01\n",
       "CADM4        1.039428e+03 4.199998e+00 0.000000e+00 1.080003e+00 2.859991e+02\n",
       "RPS18        2.430549e+06 2.917163e+05 2.074357e+05 2.713845e+05 2.582886e+06\n",
       "SLC10A7      4.650931e+03 1.150552e+03 8.078161e+01 1.391947e+03 4.631855e+03\n",
       "CFHR5        0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00\n",
       "OR2K2        0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 7.002889e+01\n",
       "BRIX1        2.955088e+05 2.527642e+04 5.911265e+03 1.256421e+04 4.983546e+04\n",
       "⋮            ⋮            ⋮            ⋮            ⋮            ⋮           \n",
       "PHF21A       4.923750e+03 1.559459e+03   838.89880  1.296647e+03   4788.48700\n",
       "FAM49B       3.459950e+04 1.244116e+04  8946.57200  2.807432e+03  43619.64500\n",
       "PNPLA2       4.636100e+03 1.515057e+03   739.19525  1.858047e+03   9427.20900\n",
       "CNST         2.406094e+04 9.054530e+03  2647.36960  6.302122e+03  23363.98200\n",
       "ERCC2        2.122716e+04 5.541827e+03  1910.91720  1.378743e+03   5500.87000\n",
       "EAF2         7.262530e+03 1.731680e+03     0.00000  4.399019e+01  10881.96200\n",
       "VPS13B       2.272495e+04 4.572974e+03  4248.84800  3.254477e+03  29343.76400\n",
       "TP53TG3B     1.910486e+03 1.658620e+02    11.50989  0.000000e+00     13.48924\n",
       "C14orf101    6.378080e+03 1.373644e+03   752.73975  2.494215e+02   3233.04740\n",
       "ST18         1.009969e+00 0.000000e+00     0.00000  2.999976e-01      0.00000\n",
       "PSMB9        8.103005e+04 1.055394e+05 25334.61500  1.851262e+04 213429.92000\n",
       "ADRBK2       4.818161e+03 9.242383e+02   692.25420  4.679573e+02   2127.50780\n",
       "HCLS1        6.292557e+02 9.477089e+03 14032.35900  1.419987e+03 106412.08600\n",
       "GPR15        0.000000e+00 3.529983e+00  1795.25180  0.000000e+00  30856.31200\n",
       "LOC100093631 2.261848e+02 9.520918e+01     0.00000  0.000000e+00    165.94737\n",
       "CSF2         1.309800e+02 1.851441e+03  1201.45750  3.469129e+02   2793.67240\n",
       "SLC2A11      2.595086e+03 4.655780e+02    69.11841  3.156334e+02   1713.76680\n",
       "SELO         9.180138e+03 1.484590e+03   125.31033  3.261411e+02   6653.56540\n",
       "GRIP2        2.443686e+02 5.155981e+02     0.00000  5.343126e+02   2746.33060\n",
       "GOLGA8B      8.185414e+03 1.912410e+03  6567.11670  8.867165e+02  13128.73400\n",
       "MIR4691      1.528983e+02 0.000000e+00     0.00000  0.000000e+00     53.77098\n",
       "GPLD1        3.024134e+03 1.151598e+02    30.20993  8.662934e+01    837.42090\n",
       "RAB8A        6.176265e+04 2.929811e+04  4543.48900  1.285601e+04  71735.91000\n",
       "RXFP2        0.000000e+00 0.000000e+00     0.00000  0.000000e+00     35.03108\n",
       "PCIF1        6.625304e+04 2.585876e+04  6759.62600  1.253416e+04  56911.48400\n",
       "PIK3IP1      3.945488e+04 1.807997e+04 32542.47700  1.275807e+04  88065.61000\n",
       "SNRPD2       4.953930e+05 1.060863e+05  9695.93700  3.380782e+04 221051.25000\n",
       "SLC39A6      2.401198e+04 1.677840e+04   176.35738  7.616164e+03  27308.04000\n",
       "CTSC         6.225788e+04 3.001467e+04 20414.51800  1.459615e+04  98593.85000\n",
       "AQP7         0.000000e+00 1.367066e+01     0.00000  4.460007e+01    166.57741\n",
       "             26           28          \n",
       "C9orf152     1.192603e+02 1.814678e+02\n",
       "RPS11        5.262558e+05 6.779932e+05\n",
       "ELMO2        1.237756e+04 1.965770e+04\n",
       "CREB3L1      9.579015e+01 4.198079e+02\n",
       "PNMA1        2.409740e+04 3.207814e+04\n",
       "MMP2         3.642877e+04 1.833810e+05\n",
       "TMEM216      1.667838e+04 1.644025e+04\n",
       "TRAF3IP2-AS1 4.218196e+03 6.918118e+03\n",
       "LRRC37A5P    0.000000e+00 0.000000e+00\n",
       "LOC653712    7.229066e+02 4.694138e+02\n",
       "C10orf90     0.000000e+00 1.328845e+03\n",
       "ZHX3         1.542818e+03 4.943333e+03\n",
       "ERCC5        7.504152e+03 1.394460e+04\n",
       "GPR98        1.141205e+03 2.883768e+02\n",
       "RXFP3        5.370030e+00 3.310000e+02\n",
       "CTAGE10P     3.294927e+01 5.939998e+00\n",
       "APBB2        4.943554e+03 1.110585e+04\n",
       "KLHL13       2.048362e+03 9.783947e+03\n",
       "PDCL3        4.595086e+04 5.158208e+04\n",
       "AEN          3.797584e+03 9.469110e+03\n",
       "FRG2         4.297045e+01 4.022024e+01\n",
       "DECR1        5.074278e+04 6.832814e+04\n",
       "SALL1        4.952931e+01 3.299515e+02\n",
       "GGT3P        2.317914e+01 2.581955e+01\n",
       "CADM4        1.623393e+02 3.362881e+01\n",
       "RPS18        2.376494e+06 2.575602e+06\n",
       "SLC10A7      1.795475e+03 3.246002e+03\n",
       "CFHR5        0.000000e+00 0.000000e+00\n",
       "OR2K2        0.000000e+00 0.000000e+00\n",
       "BRIX1        7.373229e+04 3.564225e+04\n",
       "⋮            ⋮            ⋮           \n",
       "PHF21A         2568.95680   4726.26560\n",
       "FAM49B        13686.05800   9758.94900\n",
       "PNPLA2         5586.18260  12472.78600\n",
       "CNST           7524.13600  14720.59100\n",
       "ERCC2          1651.19800   7047.81900\n",
       "EAF2           4697.97660   8998.29700\n",
       "VPS13B        12325.60450  23259.63700\n",
       "TP53TG3B       1983.22900    143.55667\n",
       "C14orf101      1825.19090   3653.94680\n",
       "ST18            112.08805      0.00000\n",
       "PSMB9        133665.64000 107391.86000\n",
       "ADRBK2         2290.74900   1718.12830\n",
       "HCLS1         13576.86500  15264.25300\n",
       "GPR15             0.00000   1708.52370\n",
       "LOC100093631     72.79894     59.42855\n",
       "CSF2             40.31889    143.04771\n",
       "SLC2A11        1270.78280   1640.68730\n",
       "SELO           2763.76100   3907.53320\n",
       "GRIP2           777.83350   4431.18800\n",
       "GOLGA8B        5051.83350   4139.19000\n",
       "MIR4691           0.00000      0.00000\n",
       "GPLD1          1552.17630   1489.76050\n",
       "RAB8A         29233.26200  37442.30500\n",
       "RXFP2             0.00000      0.00000\n",
       "PCIF1         28741.54300  60669.24600\n",
       "PIK3IP1       30373.40000  20025.50400\n",
       "SNRPD2       162435.40000 135079.60000\n",
       "SLC39A6       14618.60300  29844.93200\n",
       "CTSC          38989.60500  55207.69500\n",
       "AQP7            338.92465   2320.10820"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pseudobulk_raw <- t(df_pseudobulk_raw)\n",
    "df_pseudobulk_raw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1cb34eb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f89e1163",
   "metadata": {},
   "outputs": [],
   "source": [
    "marker_genes <- scan(\"/home/cke/Puram/top100DEGs_pseudobulk.txt\",character(),sep=',')\n",
    "label <- read.table(\"/home/cke/Puram/PuramHNSCC_cell_category_mappedCelltypes_simple.csv\",sep=',',header=TRUE,row.names = 1)\n",
    "label_subtype <- read.table(\"/home/cke/Puram/PuramHNSCC_cell_category_mappedCelltypes.csv\",sep=',',header=TRUE,row.names = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ae5a81f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "methods <- c('quantiseq',\n",
    "'timer',\n",
    "'mcp_counter',\n",
    "'xcell',\n",
    "'epic',\n",
    "'abis',\n",
    "'consensus_tme',\n",
    "'estimate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "936e2e5f",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 256 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>method_dataset</th><th scope=col>method_cell_type</th><th scope=col>cell_type</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>cibersort    </td><td>B cells naive               </td><td>B cell naive                    </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>B cells memory              </td><td>B cell memory                   </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Plasma cells                </td><td>B cell plasma                   </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells CD8                 </td><td>T cell CD8+                     </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells CD4 naive           </td><td>T cell CD4+ naive               </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells CD4 memory resting  </td><td>T cell CD4+ memory resting      </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells CD4 memory activated</td><td>T cell CD4+ memory activated    </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells follicular helper   </td><td>T cell follicular helper        </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells regulatory (Tregs)  </td><td>T cell regulatory (Tregs)       </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>T cells gamma delta         </td><td>T cell gamma delta              </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>NK cells resting            </td><td>NK cell resting                 </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>NK cells activated          </td><td>NK cell activated               </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Monocytes                   </td><td>Monocyte                        </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Macrophages M0              </td><td>Macrophage M0                   </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Macrophages M1              </td><td>Macrophage M1                   </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Macrophages M2              </td><td>Macrophage M2                   </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Dendritic cells resting     </td><td>Myeloid dendritic cell resting  </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Dendritic cells activated   </td><td>Myeloid dendritic cell activated</td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Mast cells resting          </td><td>Mast cell activated             </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Mast cells activated        </td><td>Mast cell resting               </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Eosinophils                 </td><td>Eosinophil                      </td></tr>\n",
       "\t<tr><td>cibersort    </td><td>Neutrophils                 </td><td>Neutrophil                      </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>B cells naive               </td><td>B cell naive                    </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>B cells memory              </td><td>B cell memory                   </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>Plasma cells                </td><td>B cell plasma                   </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>T cells CD8                 </td><td>T cell CD8+                     </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>T cells CD4 naive           </td><td>T cell CD4+ naive               </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>T cells CD4 memory resting  </td><td>T cell CD4+ memory resting      </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>T cells CD4 memory activated</td><td>T cell CD4+ memory activated    </td></tr>\n",
       "\t<tr><td>cibersort_abs</td><td>T cells follicular helper   </td><td>T cell follicular helper        </td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>dcq </td><td>Monocytes          </td><td>Monocyte                       </td></tr>\n",
       "\t<tr><td>dcq </td><td>NK_cells           </td><td>NK cell                        </td></tr>\n",
       "\t<tr><td>dcq </td><td>NKT_cells          </td><td>T cell NK                      </td></tr>\n",
       "\t<tr><td>dcq </td><td>Thymocytes         </td><td>T cell immature                </td></tr>\n",
       "\t<tr><td>dcq </td><td>CD4_Naive          </td><td>T cell CD4+ naive              </td></tr>\n",
       "\t<tr><td>dcq </td><td>T-reg              </td><td>T cell regulatory (Tregs)      </td></tr>\n",
       "\t<tr><td>dcq </td><td>CD4_Memory         </td><td>T cell CD4+ memory             </td></tr>\n",
       "\t<tr><td>dcq </td><td>CD8_Eff            </td><td>T cell CD8+ effector memory    </td></tr>\n",
       "\t<tr><td>dcq </td><td>CD8_Memory         </td><td>T cell CD8+ memory             </td></tr>\n",
       "\t<tr><td>dcq </td><td>CD8_Naive          </td><td>T cell CD8+ naive              </td></tr>\n",
       "\t<tr><td>dcq </td><td>T_cells_gamma_delta</td><td>T cell gamma delta             </td></tr>\n",
       "\t<tr><td>base</td><td>B_cells            </td><td>B cell                         </td></tr>\n",
       "\t<tr><td>base</td><td>Dev_B_cells        </td><td>B cell naive                   </td></tr>\n",
       "\t<tr><td>base</td><td>Stromal            </td><td>stroma score                   </td></tr>\n",
       "\t<tr><td>base</td><td>Dendritic_cells    </td><td>Myeloid dendritic cell         </td></tr>\n",
       "\t<tr><td>base</td><td>plasmacytoid_DCs   </td><td>Plasmacytoid dendritic cell    </td></tr>\n",
       "\t<tr><td>base</td><td>Granulocytes       </td><td>Granulocyte-monocyte progenitor</td></tr>\n",
       "\t<tr><td>base</td><td>Macrophages        </td><td>Macrophage                     </td></tr>\n",
       "\t<tr><td>base</td><td>Stem               </td><td>Stem cell                      </td></tr>\n",
       "\t<tr><td>base</td><td>Monocytes          </td><td>Monocyte                       </td></tr>\n",
       "\t<tr><td>base</td><td>NK_cells           </td><td>NK cell                        </td></tr>\n",
       "\t<tr><td>base</td><td>NKT_cells          </td><td>T cell NK                      </td></tr>\n",
       "\t<tr><td>base</td><td>Thymocytes         </td><td>T cell immature                </td></tr>\n",
       "\t<tr><td>base</td><td>CD4_Naive          </td><td>T cell CD4+ naive              </td></tr>\n",
       "\t<tr><td>base</td><td>T-reg              </td><td>T cell regulatory (Tregs)      </td></tr>\n",
       "\t<tr><td>base</td><td>CD4_Memory         </td><td>T cell CD4+ memory             </td></tr>\n",
       "\t<tr><td>base</td><td>CD8_Eff            </td><td>T cell CD8+ effector memory    </td></tr>\n",
       "\t<tr><td>base</td><td>CD8_Memory         </td><td>T cell CD8+ memory             </td></tr>\n",
       "\t<tr><td>base</td><td>CD8_Naive          </td><td>T cell CD8+ naive              </td></tr>\n",
       "\t<tr><td>base</td><td>T_cells_gamma_delta</td><td>T cell gamma delta             </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 256 × 3\n",
       "\\begin{tabular}{lll}\n",
       " method\\_dataset & method\\_cell\\_type & cell\\_type\\\\\n",
       " <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t cibersort     & B cells naive                & B cell naive                    \\\\\n",
       "\t cibersort     & B cells memory               & B cell memory                   \\\\\n",
       "\t cibersort     & Plasma cells                 & B cell plasma                   \\\\\n",
       "\t cibersort     & T cells CD8                  & T cell CD8+                     \\\\\n",
       "\t cibersort     & T cells CD4 naive            & T cell CD4+ naive               \\\\\n",
       "\t cibersort     & T cells CD4 memory resting   & T cell CD4+ memory resting      \\\\\n",
       "\t cibersort     & T cells CD4 memory activated & T cell CD4+ memory activated    \\\\\n",
       "\t cibersort     & T cells follicular helper    & T cell follicular helper        \\\\\n",
       "\t cibersort     & T cells regulatory (Tregs)   & T cell regulatory (Tregs)       \\\\\n",
       "\t cibersort     & T cells gamma delta          & T cell gamma delta              \\\\\n",
       "\t cibersort     & NK cells resting             & NK cell resting                 \\\\\n",
       "\t cibersort     & NK cells activated           & NK cell activated               \\\\\n",
       "\t cibersort     & Monocytes                    & Monocyte                        \\\\\n",
       "\t cibersort     & Macrophages M0               & Macrophage M0                   \\\\\n",
       "\t cibersort     & Macrophages M1               & Macrophage M1                   \\\\\n",
       "\t cibersort     & Macrophages M2               & Macrophage M2                   \\\\\n",
       "\t cibersort     & Dendritic cells resting      & Myeloid dendritic cell resting  \\\\\n",
       "\t cibersort     & Dendritic cells activated    & Myeloid dendritic cell activated\\\\\n",
       "\t cibersort     & Mast cells resting           & Mast cell activated             \\\\\n",
       "\t cibersort     & Mast cells activated         & Mast cell resting               \\\\\n",
       "\t cibersort     & Eosinophils                  & Eosinophil                      \\\\\n",
       "\t cibersort     & Neutrophils                  & Neutrophil                      \\\\\n",
       "\t cibersort\\_abs & B cells naive                & B cell naive                    \\\\\n",
       "\t cibersort\\_abs & B cells memory               & B cell memory                   \\\\\n",
       "\t cibersort\\_abs & Plasma cells                 & B cell plasma                   \\\\\n",
       "\t cibersort\\_abs & T cells CD8                  & T cell CD8+                     \\\\\n",
       "\t cibersort\\_abs & T cells CD4 naive            & T cell CD4+ naive               \\\\\n",
       "\t cibersort\\_abs & T cells CD4 memory resting   & T cell CD4+ memory resting      \\\\\n",
       "\t cibersort\\_abs & T cells CD4 memory activated & T cell CD4+ memory activated    \\\\\n",
       "\t cibersort\\_abs & T cells follicular helper    & T cell follicular helper        \\\\\n",
       "\t ⋮ & ⋮ & ⋮\\\\\n",
       "\t dcq  & Monocytes           & Monocyte                       \\\\\n",
       "\t dcq  & NK\\_cells            & NK cell                        \\\\\n",
       "\t dcq  & NKT\\_cells           & T cell NK                      \\\\\n",
       "\t dcq  & Thymocytes          & T cell immature                \\\\\n",
       "\t dcq  & CD4\\_Naive           & T cell CD4+ naive              \\\\\n",
       "\t dcq  & T-reg               & T cell regulatory (Tregs)      \\\\\n",
       "\t dcq  & CD4\\_Memory          & T cell CD4+ memory             \\\\\n",
       "\t dcq  & CD8\\_Eff             & T cell CD8+ effector memory    \\\\\n",
       "\t dcq  & CD8\\_Memory          & T cell CD8+ memory             \\\\\n",
       "\t dcq  & CD8\\_Naive           & T cell CD8+ naive              \\\\\n",
       "\t dcq  & T\\_cells\\_gamma\\_delta & T cell gamma delta             \\\\\n",
       "\t base & B\\_cells             & B cell                         \\\\\n",
       "\t base & Dev\\_B\\_cells         & B cell naive                   \\\\\n",
       "\t base & Stromal             & stroma score                   \\\\\n",
       "\t base & Dendritic\\_cells     & Myeloid dendritic cell         \\\\\n",
       "\t base & plasmacytoid\\_DCs    & Plasmacytoid dendritic cell    \\\\\n",
       "\t base & Granulocytes        & Granulocyte-monocyte progenitor\\\\\n",
       "\t base & Macrophages         & Macrophage                     \\\\\n",
       "\t base & Stem                & Stem cell                      \\\\\n",
       "\t base & Monocytes           & Monocyte                       \\\\\n",
       "\t base & NK\\_cells            & NK cell                        \\\\\n",
       "\t base & NKT\\_cells           & T cell NK                      \\\\\n",
       "\t base & Thymocytes          & T cell immature                \\\\\n",
       "\t base & CD4\\_Naive           & T cell CD4+ naive              \\\\\n",
       "\t base & T-reg               & T cell regulatory (Tregs)      \\\\\n",
       "\t base & CD4\\_Memory          & T cell CD4+ memory             \\\\\n",
       "\t base & CD8\\_Eff             & T cell CD8+ effector memory    \\\\\n",
       "\t base & CD8\\_Memory          & T cell CD8+ memory             \\\\\n",
       "\t base & CD8\\_Naive           & T cell CD8+ naive              \\\\\n",
       "\t base & T\\_cells\\_gamma\\_delta & T cell gamma delta             \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 256 × 3\n",
       "\n",
       "| method_dataset &lt;chr&gt; | method_cell_type &lt;chr&gt; | cell_type &lt;chr&gt; |\n",
       "|---|---|---|\n",
       "| cibersort     | B cells naive                | B cell naive                     |\n",
       "| cibersort     | B cells memory               | B cell memory                    |\n",
       "| cibersort     | Plasma cells                 | B cell plasma                    |\n",
       "| cibersort     | T cells CD8                  | T cell CD8+                      |\n",
       "| cibersort     | T cells CD4 naive            | T cell CD4+ naive                |\n",
       "| cibersort     | T cells CD4 memory resting   | T cell CD4+ memory resting       |\n",
       "| cibersort     | T cells CD4 memory activated | T cell CD4+ memory activated     |\n",
       "| cibersort     | T cells follicular helper    | T cell follicular helper         |\n",
       "| cibersort     | T cells regulatory (Tregs)   | T cell regulatory (Tregs)        |\n",
       "| cibersort     | T cells gamma delta          | T cell gamma delta               |\n",
       "| cibersort     | NK cells resting             | NK cell resting                  |\n",
       "| cibersort     | NK cells activated           | NK cell activated                |\n",
       "| cibersort     | Monocytes                    | Monocyte                         |\n",
       "| cibersort     | Macrophages M0               | Macrophage M0                    |\n",
       "| cibersort     | Macrophages M1               | Macrophage M1                    |\n",
       "| cibersort     | Macrophages M2               | Macrophage M2                    |\n",
       "| cibersort     | Dendritic cells resting      | Myeloid dendritic cell resting   |\n",
       "| cibersort     | Dendritic cells activated    | Myeloid dendritic cell activated |\n",
       "| cibersort     | Mast cells resting           | Mast cell activated              |\n",
       "| cibersort     | Mast cells activated         | Mast cell resting                |\n",
       "| cibersort     | Eosinophils                  | Eosinophil                       |\n",
       "| cibersort     | Neutrophils                  | Neutrophil                       |\n",
       "| cibersort_abs | B cells naive                | B cell naive                     |\n",
       "| cibersort_abs | B cells memory               | B cell memory                    |\n",
       "| cibersort_abs | Plasma cells                 | B cell plasma                    |\n",
       "| cibersort_abs | T cells CD8                  | T cell CD8+                      |\n",
       "| cibersort_abs | T cells CD4 naive            | T cell CD4+ naive                |\n",
       "| cibersort_abs | T cells CD4 memory resting   | T cell CD4+ memory resting       |\n",
       "| cibersort_abs | T cells CD4 memory activated | T cell CD4+ memory activated     |\n",
       "| cibersort_abs | T cells follicular helper    | T cell follicular helper         |\n",
       "| ⋮ | ⋮ | ⋮ |\n",
       "| dcq  | Monocytes           | Monocyte                        |\n",
       "| dcq  | NK_cells            | NK cell                         |\n",
       "| dcq  | NKT_cells           | T cell NK                       |\n",
       "| dcq  | Thymocytes          | T cell immature                 |\n",
       "| dcq  | CD4_Naive           | T cell CD4+ naive               |\n",
       "| dcq  | T-reg               | T cell regulatory (Tregs)       |\n",
       "| dcq  | CD4_Memory          | T cell CD4+ memory              |\n",
       "| dcq  | CD8_Eff             | T cell CD8+ effector memory     |\n",
       "| dcq  | CD8_Memory          | T cell CD8+ memory              |\n",
       "| dcq  | CD8_Naive           | T cell CD8+ naive               |\n",
       "| dcq  | T_cells_gamma_delta | T cell gamma delta              |\n",
       "| base | B_cells             | B cell                          |\n",
       "| base | Dev_B_cells         | B cell naive                    |\n",
       "| base | Stromal             | stroma score                    |\n",
       "| base | Dendritic_cells     | Myeloid dendritic cell          |\n",
       "| base | plasmacytoid_DCs    | Plasmacytoid dendritic cell     |\n",
       "| base | Granulocytes        | Granulocyte-monocyte progenitor |\n",
       "| base | Macrophages         | Macrophage                      |\n",
       "| base | Stem                | Stem cell                       |\n",
       "| base | Monocytes           | Monocyte                        |\n",
       "| base | NK_cells            | NK cell                         |\n",
       "| base | NKT_cells           | T cell NK                       |\n",
       "| base | Thymocytes          | T cell immature                 |\n",
       "| base | CD4_Naive           | T cell CD4+ naive               |\n",
       "| base | T-reg               | T cell regulatory (Tregs)       |\n",
       "| base | CD4_Memory          | T cell CD4+ memory              |\n",
       "| base | CD8_Eff             | T cell CD8+ effector memory     |\n",
       "| base | CD8_Memory          | T cell CD8+ memory              |\n",
       "| base | CD8_Naive           | T cell CD8+ naive               |\n",
       "| base | T_cells_gamma_delta | T cell gamma delta              |\n",
       "\n"
      ],
      "text/plain": [
       "    method_dataset method_cell_type            \n",
       "1   cibersort      B cells naive               \n",
       "2   cibersort      B cells memory              \n",
       "3   cibersort      Plasma cells                \n",
       "4   cibersort      T cells CD8                 \n",
       "5   cibersort      T cells CD4 naive           \n",
       "6   cibersort      T cells CD4 memory resting  \n",
       "7   cibersort      T cells CD4 memory activated\n",
       "8   cibersort      T cells follicular helper   \n",
       "9   cibersort      T cells regulatory (Tregs)  \n",
       "10  cibersort      T cells gamma delta         \n",
       "11  cibersort      NK cells resting            \n",
       "12  cibersort      NK cells activated          \n",
       "13  cibersort      Monocytes                   \n",
       "14  cibersort      Macrophages M0              \n",
       "15  cibersort      Macrophages M1              \n",
       "16  cibersort      Macrophages M2              \n",
       "17  cibersort      Dendritic cells resting     \n",
       "18  cibersort      Dendritic cells activated   \n",
       "19  cibersort      Mast cells resting          \n",
       "20  cibersort      Mast cells activated        \n",
       "21  cibersort      Eosinophils                 \n",
       "22  cibersort      Neutrophils                 \n",
       "23  cibersort_abs  B cells naive               \n",
       "24  cibersort_abs  B cells memory              \n",
       "25  cibersort_abs  Plasma cells                \n",
       "26  cibersort_abs  T cells CD8                 \n",
       "27  cibersort_abs  T cells CD4 naive           \n",
       "28  cibersort_abs  T cells CD4 memory resting  \n",
       "29  cibersort_abs  T cells CD4 memory activated\n",
       "30  cibersort_abs  T cells follicular helper   \n",
       "⋮   ⋮              ⋮                           \n",
       "227 dcq            Monocytes                   \n",
       "228 dcq            NK_cells                    \n",
       "229 dcq            NKT_cells                   \n",
       "230 dcq            Thymocytes                  \n",
       "231 dcq            CD4_Naive                   \n",
       "232 dcq            T-reg                       \n",
       "233 dcq            CD4_Memory                  \n",
       "234 dcq            CD8_Eff                     \n",
       "235 dcq            CD8_Memory                  \n",
       "236 dcq            CD8_Naive                   \n",
       "237 dcq            T_cells_gamma_delta         \n",
       "238 base           B_cells                     \n",
       "239 base           Dev_B_cells                 \n",
       "240 base           Stromal                     \n",
       "241 base           Dendritic_cells             \n",
       "242 base           plasmacytoid_DCs            \n",
       "243 base           Granulocytes                \n",
       "244 base           Macrophages                 \n",
       "245 base           Stem                        \n",
       "246 base           Monocytes                   \n",
       "247 base           NK_cells                    \n",
       "248 base           NKT_cells                   \n",
       "249 base           Thymocytes                  \n",
       "250 base           CD4_Naive                   \n",
       "251 base           T-reg                       \n",
       "252 base           CD4_Memory                  \n",
       "253 base           CD8_Eff                     \n",
       "254 base           CD8_Memory                  \n",
       "255 base           CD8_Naive                   \n",
       "256 base           T_cells_gamma_delta         \n",
       "    cell_type                       \n",
       "1   B cell naive                    \n",
       "2   B cell memory                   \n",
       "3   B cell plasma                   \n",
       "4   T cell CD8+                     \n",
       "5   T cell CD4+ naive               \n",
       "6   T cell CD4+ memory resting      \n",
       "7   T cell CD4+ memory activated    \n",
       "8   T cell follicular helper        \n",
       "9   T cell regulatory (Tregs)       \n",
       "10  T cell gamma delta              \n",
       "11  NK cell resting                 \n",
       "12  NK cell activated               \n",
       "13  Monocyte                        \n",
       "14  Macrophage M0                   \n",
       "15  Macrophage M1                   \n",
       "16  Macrophage M2                   \n",
       "17  Myeloid dendritic cell resting  \n",
       "18  Myeloid dendritic cell activated\n",
       "19  Mast cell activated             \n",
       "20  Mast cell resting               \n",
       "21  Eosinophil                      \n",
       "22  Neutrophil                      \n",
       "23  B cell naive                    \n",
       "24  B cell memory                   \n",
       "25  B cell plasma                   \n",
       "26  T cell CD8+                     \n",
       "27  T cell CD4+ naive               \n",
       "28  T cell CD4+ memory resting      \n",
       "29  T cell CD4+ memory activated    \n",
       "30  T cell follicular helper        \n",
       "⋮   ⋮                               \n",
       "227 Monocyte                        \n",
       "228 NK cell                         \n",
       "229 T cell NK                       \n",
       "230 T cell immature                 \n",
       "231 T cell CD4+ naive               \n",
       "232 T cell regulatory (Tregs)       \n",
       "233 T cell CD4+ memory              \n",
       "234 T cell CD8+ effector memory     \n",
       "235 T cell CD8+ memory              \n",
       "236 T cell CD8+ naive               \n",
       "237 T cell gamma delta              \n",
       "238 B cell                          \n",
       "239 B cell naive                    \n",
       "240 stroma score                    \n",
       "241 Myeloid dendritic cell          \n",
       "242 Plasmacytoid dendritic cell     \n",
       "243 Granulocyte-monocyte progenitor \n",
       "244 Macrophage                      \n",
       "245 Stem cell                       \n",
       "246 Monocyte                        \n",
       "247 NK cell                         \n",
       "248 T cell NK                       \n",
       "249 T cell immature                 \n",
       "250 T cell CD4+ naive               \n",
       "251 T cell regulatory (Tregs)       \n",
       "252 T cell CD4+ memory              \n",
       "253 T cell CD8+ effector memory     \n",
       "254 T cell CD8+ memory              \n",
       "255 T cell CD8+ naive               \n",
       "256 T cell gamma delta              "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cell_type_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9253b54",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running quantiseq\n",
      "\n",
      "\n",
      "Running quanTIseq deconvolution module\n",
      "\n",
      "\n",
      "Gene expression normalization and re-annotation (arrays: FALSE)\n",
      "\n",
      "\n",
      "Removing 17 noisy genes\n",
      "\n",
      "\n",
      "Removing 15 genes with high expression in tumors\n",
      "\n",
      "\n",
      "Signature genes found in data set: 135/138 (97.83%)\n",
      "\n",
      "\n",
      "Mixture deconvolution (method: lsei)\n",
      "\n",
      "\n",
      "Deconvolution sucessful!\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 11 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>B cell                      </td><td>0.0000000</td><td>0.02885718</td><td>0.0609813</td><td>0.280878998</td><td>0.304490170</td><td>0.0000000</td><td>0.20967032</td><td>0.00000000</td><td>0.002279084</td><td>4.982050e-03</td><td>0.020140683</td><td>0.01901975</td><td>0</td><td>0.02575455</td><td>0.0000000</td><td>0.02807870</td><td>0.02802637</td></tr>\n",
       "\t<tr><td>Macrophage M1               </td><td>0.0000000</td><td>0.10739717</td><td>0.1347553</td><td>0.082386303</td><td>0.244535448</td><td>0.0000000</td><td>0.13522809</td><td>0.08905668</td><td>0.127672293</td><td>1.615994e-01</td><td>0.037222475</td><td>0.12116709</td><td>0</td><td>0.26302431</td><td>0.1926244</td><td>0.04947770</td><td>0.12832323</td></tr>\n",
       "\t<tr><td>Macrophage M2               </td><td>0.0000000</td><td>0.07270904</td><td>0.0000000</td><td>0.013784027</td><td>0.000000000</td><td>0.0000000</td><td>0.03992579</td><td>0.00000000</td><td>0.004778278</td><td>0.000000e+00</td><td>0.037070420</td><td>0.05941409</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.01061893</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>Monocyte                    </td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.000000000</td><td>0.000000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td><td>0.000000000</td><td>0.000000e+00</td><td>0.000000000</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>Neutrophil                  </td><td>0.0000000</td><td>0.03507780</td><td>0.0496465</td><td>0.008172143</td><td>0.000000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td><td>0.023634506</td><td>0.000000e+00</td><td>0.039186290</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.02031431</td><td>0.02272588</td></tr>\n",
       "\t<tr><td>NK cell                     </td><td>0.0000000</td><td>0.03018530</td><td>0.0000000</td><td>0.015997708</td><td>0.010444885</td><td>0.0000000</td><td>0.01772080</td><td>0.01621501</td><td>0.008937019</td><td>2.209925e-02</td><td>0.010488583</td><td>0.02075082</td><td>0</td><td>0.02191217</td><td>0.0000000</td><td>0.01145033</td><td>0.04212052</td></tr>\n",
       "\t<tr><td>T cell CD4+ (non-regulatory)</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.420966640</td><td>0.000000000</td><td>0.0000000</td><td>0.01785013</td><td>0.33119627</td><td>0.000000000</td><td>3.751061e-02</td><td>0.020383089</td><td>0.04319775</td><td>0</td><td>0.00000000</td><td>0.4595076</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>T cell CD8+                 </td><td>0.3367138</td><td>0.00000000</td><td>0.0000000</td><td>0.026211595</td><td>0.005623472</td><td>0.2025383</td><td>0.03208614</td><td>0.25060998</td><td>0.109319708</td><td>3.349545e-01</td><td>0.000000000</td><td>0.00000000</td><td>1</td><td>0.00000000</td><td>0.1377925</td><td>0.02574191</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>T cell regulatory (Tregs)   </td><td>0.6632862</td><td>0.02043924</td><td>0.0000000</td><td>0.084525858</td><td>0.287483975</td><td>0.7974617</td><td>0.36701572</td><td>0.31292205</td><td>0.225032284</td><td>4.388542e-01</td><td>0.003103834</td><td>0.01301938</td><td>0</td><td>0.02741486</td><td>0.1091409</td><td>0.02772174</td><td>0.04084525</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell      </td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.000000000</td><td>0.000000000</td><td>0.0000000</td><td>0.05457840</td><td>0.00000000</td><td>0.000000000</td><td>0.000000e+00</td><td>0.000000000</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>uncharacterized cell        </td><td>0.0000000</td><td>0.70533427</td><td>0.7546169</td><td>0.067076728</td><td>0.147422050</td><td>0.0000000</td><td>0.12592461</td><td>0.00000000</td><td>0.498346827</td><td>1.110223e-16</td><td>0.832404627</td><td>0.72343112</td><td>0</td><td>0.66189411</td><td>0.1009345</td><td>0.82659638</td><td>0.73795874</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 11 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t B cell                       & 0.0000000 & 0.02885718 & 0.0609813 & 0.280878998 & 0.304490170 & 0.0000000 & 0.20967032 & 0.00000000 & 0.002279084 & 4.982050e-03 & 0.020140683 & 0.01901975 & 0 & 0.02575455 & 0.0000000 & 0.02807870 & 0.02802637\\\\\n",
       "\t Macrophage M1                & 0.0000000 & 0.10739717 & 0.1347553 & 0.082386303 & 0.244535448 & 0.0000000 & 0.13522809 & 0.08905668 & 0.127672293 & 1.615994e-01 & 0.037222475 & 0.12116709 & 0 & 0.26302431 & 0.1926244 & 0.04947770 & 0.12832323\\\\\n",
       "\t Macrophage M2                & 0.0000000 & 0.07270904 & 0.0000000 & 0.013784027 & 0.000000000 & 0.0000000 & 0.03992579 & 0.00000000 & 0.004778278 & 0.000000e+00 & 0.037070420 & 0.05941409 & 0 & 0.00000000 & 0.0000000 & 0.01061893 & 0.00000000\\\\\n",
       "\t Monocyte                     & 0.0000000 & 0.00000000 & 0.0000000 & 0.000000000 & 0.000000000 & 0.0000000 & 0.00000000 & 0.00000000 & 0.000000000 & 0.000000e+00 & 0.000000000 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.00000000 & 0.00000000\\\\\n",
       "\t Neutrophil                   & 0.0000000 & 0.03507780 & 0.0496465 & 0.008172143 & 0.000000000 & 0.0000000 & 0.00000000 & 0.00000000 & 0.023634506 & 0.000000e+00 & 0.039186290 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.02031431 & 0.02272588\\\\\n",
       "\t NK cell                      & 0.0000000 & 0.03018530 & 0.0000000 & 0.015997708 & 0.010444885 & 0.0000000 & 0.01772080 & 0.01621501 & 0.008937019 & 2.209925e-02 & 0.010488583 & 0.02075082 & 0 & 0.02191217 & 0.0000000 & 0.01145033 & 0.04212052\\\\\n",
       "\t T cell CD4+ (non-regulatory) & 0.0000000 & 0.00000000 & 0.0000000 & 0.420966640 & 0.000000000 & 0.0000000 & 0.01785013 & 0.33119627 & 0.000000000 & 3.751061e-02 & 0.020383089 & 0.04319775 & 0 & 0.00000000 & 0.4595076 & 0.00000000 & 0.00000000\\\\\n",
       "\t T cell CD8+                  & 0.3367138 & 0.00000000 & 0.0000000 & 0.026211595 & 0.005623472 & 0.2025383 & 0.03208614 & 0.25060998 & 0.109319708 & 3.349545e-01 & 0.000000000 & 0.00000000 & 1 & 0.00000000 & 0.1377925 & 0.02574191 & 0.00000000\\\\\n",
       "\t T cell regulatory (Tregs)    & 0.6632862 & 0.02043924 & 0.0000000 & 0.084525858 & 0.287483975 & 0.7974617 & 0.36701572 & 0.31292205 & 0.225032284 & 4.388542e-01 & 0.003103834 & 0.01301938 & 0 & 0.02741486 & 0.1091409 & 0.02772174 & 0.04084525\\\\\n",
       "\t Myeloid dendritic cell       & 0.0000000 & 0.00000000 & 0.0000000 & 0.000000000 & 0.000000000 & 0.0000000 & 0.05457840 & 0.00000000 & 0.000000000 & 0.000000e+00 & 0.000000000 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.00000000 & 0.00000000\\\\\n",
       "\t uncharacterized cell         & 0.0000000 & 0.70533427 & 0.7546169 & 0.067076728 & 0.147422050 & 0.0000000 & 0.12592461 & 0.00000000 & 0.498346827 & 1.110223e-16 & 0.832404627 & 0.72343112 & 0 & 0.66189411 & 0.1009345 & 0.82659638 & 0.73795874\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 11 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| B cell                       | 0.0000000 | 0.02885718 | 0.0609813 | 0.280878998 | 0.304490170 | 0.0000000 | 0.20967032 | 0.00000000 | 0.002279084 | 4.982050e-03 | 0.020140683 | 0.01901975 | 0 | 0.02575455 | 0.0000000 | 0.02807870 | 0.02802637 |\n",
       "| Macrophage M1                | 0.0000000 | 0.10739717 | 0.1347553 | 0.082386303 | 0.244535448 | 0.0000000 | 0.13522809 | 0.08905668 | 0.127672293 | 1.615994e-01 | 0.037222475 | 0.12116709 | 0 | 0.26302431 | 0.1926244 | 0.04947770 | 0.12832323 |\n",
       "| Macrophage M2                | 0.0000000 | 0.07270904 | 0.0000000 | 0.013784027 | 0.000000000 | 0.0000000 | 0.03992579 | 0.00000000 | 0.004778278 | 0.000000e+00 | 0.037070420 | 0.05941409 | 0 | 0.00000000 | 0.0000000 | 0.01061893 | 0.00000000 |\n",
       "| Monocyte                     | 0.0000000 | 0.00000000 | 0.0000000 | 0.000000000 | 0.000000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000000000 | 0.000000e+00 | 0.000000000 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 |\n",
       "| Neutrophil                   | 0.0000000 | 0.03507780 | 0.0496465 | 0.008172143 | 0.000000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.023634506 | 0.000000e+00 | 0.039186290 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.02031431 | 0.02272588 |\n",
       "| NK cell                      | 0.0000000 | 0.03018530 | 0.0000000 | 0.015997708 | 0.010444885 | 0.0000000 | 0.01772080 | 0.01621501 | 0.008937019 | 2.209925e-02 | 0.010488583 | 0.02075082 | 0 | 0.02191217 | 0.0000000 | 0.01145033 | 0.04212052 |\n",
       "| T cell CD4+ (non-regulatory) | 0.0000000 | 0.00000000 | 0.0000000 | 0.420966640 | 0.000000000 | 0.0000000 | 0.01785013 | 0.33119627 | 0.000000000 | 3.751061e-02 | 0.020383089 | 0.04319775 | 0 | 0.00000000 | 0.4595076 | 0.00000000 | 0.00000000 |\n",
       "| T cell CD8+                  | 0.3367138 | 0.00000000 | 0.0000000 | 0.026211595 | 0.005623472 | 0.2025383 | 0.03208614 | 0.25060998 | 0.109319708 | 3.349545e-01 | 0.000000000 | 0.00000000 | 1 | 0.00000000 | 0.1377925 | 0.02574191 | 0.00000000 |\n",
       "| T cell regulatory (Tregs)    | 0.6632862 | 0.02043924 | 0.0000000 | 0.084525858 | 0.287483975 | 0.7974617 | 0.36701572 | 0.31292205 | 0.225032284 | 4.388542e-01 | 0.003103834 | 0.01301938 | 0 | 0.02741486 | 0.1091409 | 0.02772174 | 0.04084525 |\n",
       "| Myeloid dendritic cell       | 0.0000000 | 0.00000000 | 0.0000000 | 0.000000000 | 0.000000000 | 0.0000000 | 0.05457840 | 0.00000000 | 0.000000000 | 0.000000e+00 | 0.000000000 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 |\n",
       "| uncharacterized cell         | 0.0000000 | 0.70533427 | 0.7546169 | 0.067076728 | 0.147422050 | 0.0000000 | 0.12592461 | 0.00000000 | 0.498346827 | 1.110223e-16 | 0.832404627 | 0.72343112 | 0 | 0.66189411 | 0.1009345 | 0.82659638 | 0.73795874 |\n",
       "\n"
      ],
      "text/plain": [
       "   cell_type                    0         6          7         8          \n",
       "1  B cell                       0.0000000 0.02885718 0.0609813 0.280878998\n",
       "2  Macrophage M1                0.0000000 0.10739717 0.1347553 0.082386303\n",
       "3  Macrophage M2                0.0000000 0.07270904 0.0000000 0.013784027\n",
       "4  Monocyte                     0.0000000 0.00000000 0.0000000 0.000000000\n",
       "5  Neutrophil                   0.0000000 0.03507780 0.0496465 0.008172143\n",
       "6  NK cell                      0.0000000 0.03018530 0.0000000 0.015997708\n",
       "7  T cell CD4+ (non-regulatory) 0.0000000 0.00000000 0.0000000 0.420966640\n",
       "8  T cell CD8+                  0.3367138 0.00000000 0.0000000 0.026211595\n",
       "9  T cell regulatory (Tregs)    0.6632862 0.02043924 0.0000000 0.084525858\n",
       "10 Myeloid dendritic cell       0.0000000 0.00000000 0.0000000 0.000000000\n",
       "11 uncharacterized cell         0.0000000 0.70533427 0.7546169 0.067076728\n",
       "   10          12        13         16         17          18          \n",
       "1  0.304490170 0.0000000 0.20967032 0.00000000 0.002279084 4.982050e-03\n",
       "2  0.244535448 0.0000000 0.13522809 0.08905668 0.127672293 1.615994e-01\n",
       "3  0.000000000 0.0000000 0.03992579 0.00000000 0.004778278 0.000000e+00\n",
       "4  0.000000000 0.0000000 0.00000000 0.00000000 0.000000000 0.000000e+00\n",
       "5  0.000000000 0.0000000 0.00000000 0.00000000 0.023634506 0.000000e+00\n",
       "6  0.010444885 0.0000000 0.01772080 0.01621501 0.008937019 2.209925e-02\n",
       "7  0.000000000 0.0000000 0.01785013 0.33119627 0.000000000 3.751061e-02\n",
       "8  0.005623472 0.2025383 0.03208614 0.25060998 0.109319708 3.349545e-01\n",
       "9  0.287483975 0.7974617 0.36701572 0.31292205 0.225032284 4.388542e-01\n",
       "10 0.000000000 0.0000000 0.05457840 0.00000000 0.000000000 0.000000e+00\n",
       "11 0.147422050 0.0000000 0.12592461 0.00000000 0.498346827 1.110223e-16\n",
       "   20          22         23 24         25        26         28        \n",
       "1  0.020140683 0.01901975 0  0.02575455 0.0000000 0.02807870 0.02802637\n",
       "2  0.037222475 0.12116709 0  0.26302431 0.1926244 0.04947770 0.12832323\n",
       "3  0.037070420 0.05941409 0  0.00000000 0.0000000 0.01061893 0.00000000\n",
       "4  0.000000000 0.00000000 0  0.00000000 0.0000000 0.00000000 0.00000000\n",
       "5  0.039186290 0.00000000 0  0.00000000 0.0000000 0.02031431 0.02272588\n",
       "6  0.010488583 0.02075082 0  0.02191217 0.0000000 0.01145033 0.04212052\n",
       "7  0.020383089 0.04319775 0  0.00000000 0.4595076 0.00000000 0.00000000\n",
       "8  0.000000000 0.00000000 1  0.00000000 0.1377925 0.02574191 0.00000000\n",
       "9  0.003103834 0.01301938 0  0.02741486 0.1091409 0.02772174 0.04084525\n",
       "10 0.000000000 0.00000000 0  0.00000000 0.0000000 0.00000000 0.00000000\n",
       "11 0.832404627 0.72343112 0  0.66189411 0.1009345 0.82659638 0.73795874"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "quantiseq_res <- deconvolute(df_pseudobulk_raw, \"quantiseq\",tumor = TRUE)\n",
    "quantiseq_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c6451310",
   "metadata": {},
   "outputs": [],
   "source": [
    "# quantiseq_mapped_res <- map_result_to_celltypes(quantiseq_res, c(\"T cell\",'B cell','Dendritic','Endothelial cell','Macrophage','Mast cell','Myocyte','other cell','cancer cell'), \"quantiseq\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0f536b49",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running epic\n",
      "\n",
      "Warning message in (function (bulk, reference = NULL, mRNA_cell = NULL, mRNA_cell_sub = NULL, :\n",
      "“mRNA_cell value unknown for some cell types: CAFs, Endothelial - using the default value of 0.4 for these but this might bias the true cell proportions from all cell types.”\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 8 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>B cell                      </td><td>2.391342e-02</td><td>1.599076e-02</td><td>1.469035e-02</td><td>1.263049e-01</td><td>0.1654233795</td><td>7.328658e-09</td><td>9.233854e-02</td><td>0.0067175121</td><td>0.0000459178</td><td>0.003999055</td><td>0.0008342676</td><td>1.499579e-03</td><td>1.358775e-08</td><td>5.731362e-03</td><td>3.601053e-03</td><td>4.206901e-03</td><td>7.302028e-03</td></tr>\n",
       "\t<tr><td>Cancer associated fibroblast</td><td>1.377152e-02</td><td>1.299749e-01</td><td>5.558480e-02</td><td>5.050092e-02</td><td>0.0996778054</td><td>2.189844e-09</td><td>3.317680e-02</td><td>0.0686577381</td><td>0.0635874183</td><td>0.028088413</td><td>0.0104261446</td><td>4.516029e-02</td><td>2.052643e-08</td><td>3.104542e-01</td><td>2.768788e-02</td><td>4.029953e-02</td><td>6.828947e-02</td></tr>\n",
       "\t<tr><td>T cell CD4+                 </td><td>4.948436e-01</td><td>1.948108e-01</td><td>2.597814e-01</td><td>3.272560e-01</td><td>0.0962111024</td><td>6.546218e-01</td><td>3.718897e-01</td><td>0.3843880589</td><td>0.1985110096</td><td>0.319438841</td><td>0.1266601605</td><td>1.114239e-01</td><td>9.579529e-02</td><td>6.027873e-02</td><td>2.454974e-01</td><td>9.185253e-02</td><td>7.569814e-02</td></tr>\n",
       "\t<tr><td>T cell CD8+                 </td><td>3.685662e-01</td><td>6.102221e-02</td><td>9.552786e-02</td><td>9.756403e-02</td><td>0.0004675592</td><td>1.758642e-01</td><td>1.070045e-02</td><td>0.1809874484</td><td>0.0624543495</td><td>0.219664655</td><td>0.0512951506</td><td>2.020673e-02</td><td>6.561306e-01</td><td>1.311140e-02</td><td>1.501257e-01</td><td>5.370938e-02</td><td>2.486059e-02</td></tr>\n",
       "\t<tr><td>Endothelial cell            </td><td>2.902131e-11</td><td>2.038763e-01</td><td>8.257125e-03</td><td>2.821627e-01</td><td>0.0847782604</td><td>8.056090e-09</td><td>4.745966e-02</td><td>0.0796850737</td><td>0.0244467048</td><td>0.060509862</td><td>0.0266294206</td><td>1.086986e-02</td><td>6.085133e-09</td><td>6.228577e-03</td><td>7.622358e-03</td><td>1.297701e-02</td><td>8.065337e-02</td></tr>\n",
       "\t<tr><td>Macrophage                  </td><td>2.335006e-09</td><td>2.984095e-03</td><td>2.127041e-04</td><td>1.671916e-03</td><td>0.0018494216</td><td>1.174766e-06</td><td>6.930812e-04</td><td>0.0007012574</td><td>0.0008616317</td><td>0.003733247</td><td>0.0002639809</td><td>5.356236e-04</td><td>3.148571e-10</td><td>3.432586e-03</td><td>3.722851e-04</td><td>8.651373e-04</td><td>1.618554e-03</td></tr>\n",
       "\t<tr><td>NK cell                     </td><td>9.890523e-02</td><td>5.378590e-09</td><td>4.446016e-09</td><td>4.072760e-09</td><td>0.0313794853</td><td>1.695128e-01</td><td>5.663599e-12</td><td>0.0639331949</td><td>0.0327628392</td><td>0.022448740</td><td>0.0009842044</td><td>1.960578e-08</td><td>2.480741e-01</td><td>8.524304e-08</td><td>3.017271e-09</td><td>1.502116e-09</td><td>4.376984e-09</td></tr>\n",
       "\t<tr><td>uncharacterized cell        </td><td>3.837751e-10</td><td>3.913409e-01</td><td>5.659458e-01</td><td>1.145396e-01</td><td>0.5202129862</td><td>2.226260e-10</td><td>4.437417e-01</td><td>0.2149297166</td><td>0.6173301292</td><td>0.342117186</td><td>0.7829066708</td><td>8.103040e-01</td><td>8.371516e-09</td><td>6.007630e-01</td><td>5.650933e-01</td><td>7.960895e-01</td><td>7.415778e-01</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 8 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t B cell                       & 2.391342e-02 & 1.599076e-02 & 1.469035e-02 & 1.263049e-01 & 0.1654233795 & 7.328658e-09 & 9.233854e-02 & 0.0067175121 & 0.0000459178 & 0.003999055 & 0.0008342676 & 1.499579e-03 & 1.358775e-08 & 5.731362e-03 & 3.601053e-03 & 4.206901e-03 & 7.302028e-03\\\\\n",
       "\t Cancer associated fibroblast & 1.377152e-02 & 1.299749e-01 & 5.558480e-02 & 5.050092e-02 & 0.0996778054 & 2.189844e-09 & 3.317680e-02 & 0.0686577381 & 0.0635874183 & 0.028088413 & 0.0104261446 & 4.516029e-02 & 2.052643e-08 & 3.104542e-01 & 2.768788e-02 & 4.029953e-02 & 6.828947e-02\\\\\n",
       "\t T cell CD4+                  & 4.948436e-01 & 1.948108e-01 & 2.597814e-01 & 3.272560e-01 & 0.0962111024 & 6.546218e-01 & 3.718897e-01 & 0.3843880589 & 0.1985110096 & 0.319438841 & 0.1266601605 & 1.114239e-01 & 9.579529e-02 & 6.027873e-02 & 2.454974e-01 & 9.185253e-02 & 7.569814e-02\\\\\n",
       "\t T cell CD8+                  & 3.685662e-01 & 6.102221e-02 & 9.552786e-02 & 9.756403e-02 & 0.0004675592 & 1.758642e-01 & 1.070045e-02 & 0.1809874484 & 0.0624543495 & 0.219664655 & 0.0512951506 & 2.020673e-02 & 6.561306e-01 & 1.311140e-02 & 1.501257e-01 & 5.370938e-02 & 2.486059e-02\\\\\n",
       "\t Endothelial cell             & 2.902131e-11 & 2.038763e-01 & 8.257125e-03 & 2.821627e-01 & 0.0847782604 & 8.056090e-09 & 4.745966e-02 & 0.0796850737 & 0.0244467048 & 0.060509862 & 0.0266294206 & 1.086986e-02 & 6.085133e-09 & 6.228577e-03 & 7.622358e-03 & 1.297701e-02 & 8.065337e-02\\\\\n",
       "\t Macrophage                   & 2.335006e-09 & 2.984095e-03 & 2.127041e-04 & 1.671916e-03 & 0.0018494216 & 1.174766e-06 & 6.930812e-04 & 0.0007012574 & 0.0008616317 & 0.003733247 & 0.0002639809 & 5.356236e-04 & 3.148571e-10 & 3.432586e-03 & 3.722851e-04 & 8.651373e-04 & 1.618554e-03\\\\\n",
       "\t NK cell                      & 9.890523e-02 & 5.378590e-09 & 4.446016e-09 & 4.072760e-09 & 0.0313794853 & 1.695128e-01 & 5.663599e-12 & 0.0639331949 & 0.0327628392 & 0.022448740 & 0.0009842044 & 1.960578e-08 & 2.480741e-01 & 8.524304e-08 & 3.017271e-09 & 1.502116e-09 & 4.376984e-09\\\\\n",
       "\t uncharacterized cell         & 3.837751e-10 & 3.913409e-01 & 5.659458e-01 & 1.145396e-01 & 0.5202129862 & 2.226260e-10 & 4.437417e-01 & 0.2149297166 & 0.6173301292 & 0.342117186 & 0.7829066708 & 8.103040e-01 & 8.371516e-09 & 6.007630e-01 & 5.650933e-01 & 7.960895e-01 & 7.415778e-01\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 8 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| B cell                       | 2.391342e-02 | 1.599076e-02 | 1.469035e-02 | 1.263049e-01 | 0.1654233795 | 7.328658e-09 | 9.233854e-02 | 0.0067175121 | 0.0000459178 | 0.003999055 | 0.0008342676 | 1.499579e-03 | 1.358775e-08 | 5.731362e-03 | 3.601053e-03 | 4.206901e-03 | 7.302028e-03 |\n",
       "| Cancer associated fibroblast | 1.377152e-02 | 1.299749e-01 | 5.558480e-02 | 5.050092e-02 | 0.0996778054 | 2.189844e-09 | 3.317680e-02 | 0.0686577381 | 0.0635874183 | 0.028088413 | 0.0104261446 | 4.516029e-02 | 2.052643e-08 | 3.104542e-01 | 2.768788e-02 | 4.029953e-02 | 6.828947e-02 |\n",
       "| T cell CD4+                  | 4.948436e-01 | 1.948108e-01 | 2.597814e-01 | 3.272560e-01 | 0.0962111024 | 6.546218e-01 | 3.718897e-01 | 0.3843880589 | 0.1985110096 | 0.319438841 | 0.1266601605 | 1.114239e-01 | 9.579529e-02 | 6.027873e-02 | 2.454974e-01 | 9.185253e-02 | 7.569814e-02 |\n",
       "| T cell CD8+                  | 3.685662e-01 | 6.102221e-02 | 9.552786e-02 | 9.756403e-02 | 0.0004675592 | 1.758642e-01 | 1.070045e-02 | 0.1809874484 | 0.0624543495 | 0.219664655 | 0.0512951506 | 2.020673e-02 | 6.561306e-01 | 1.311140e-02 | 1.501257e-01 | 5.370938e-02 | 2.486059e-02 |\n",
       "| Endothelial cell             | 2.902131e-11 | 2.038763e-01 | 8.257125e-03 | 2.821627e-01 | 0.0847782604 | 8.056090e-09 | 4.745966e-02 | 0.0796850737 | 0.0244467048 | 0.060509862 | 0.0266294206 | 1.086986e-02 | 6.085133e-09 | 6.228577e-03 | 7.622358e-03 | 1.297701e-02 | 8.065337e-02 |\n",
       "| Macrophage                   | 2.335006e-09 | 2.984095e-03 | 2.127041e-04 | 1.671916e-03 | 0.0018494216 | 1.174766e-06 | 6.930812e-04 | 0.0007012574 | 0.0008616317 | 0.003733247 | 0.0002639809 | 5.356236e-04 | 3.148571e-10 | 3.432586e-03 | 3.722851e-04 | 8.651373e-04 | 1.618554e-03 |\n",
       "| NK cell                      | 9.890523e-02 | 5.378590e-09 | 4.446016e-09 | 4.072760e-09 | 0.0313794853 | 1.695128e-01 | 5.663599e-12 | 0.0639331949 | 0.0327628392 | 0.022448740 | 0.0009842044 | 1.960578e-08 | 2.480741e-01 | 8.524304e-08 | 3.017271e-09 | 1.502116e-09 | 4.376984e-09 |\n",
       "| uncharacterized cell         | 3.837751e-10 | 3.913409e-01 | 5.659458e-01 | 1.145396e-01 | 0.5202129862 | 2.226260e-10 | 4.437417e-01 | 0.2149297166 | 0.6173301292 | 0.342117186 | 0.7829066708 | 8.103040e-01 | 8.371516e-09 | 6.007630e-01 | 5.650933e-01 | 7.960895e-01 | 7.415778e-01 |\n",
       "\n"
      ],
      "text/plain": [
       "  cell_type                    0            6            7           \n",
       "1 B cell                       2.391342e-02 1.599076e-02 1.469035e-02\n",
       "2 Cancer associated fibroblast 1.377152e-02 1.299749e-01 5.558480e-02\n",
       "3 T cell CD4+                  4.948436e-01 1.948108e-01 2.597814e-01\n",
       "4 T cell CD8+                  3.685662e-01 6.102221e-02 9.552786e-02\n",
       "5 Endothelial cell             2.902131e-11 2.038763e-01 8.257125e-03\n",
       "6 Macrophage                   2.335006e-09 2.984095e-03 2.127041e-04\n",
       "7 NK cell                      9.890523e-02 5.378590e-09 4.446016e-09\n",
       "8 uncharacterized cell         3.837751e-10 3.913409e-01 5.659458e-01\n",
       "  8            10           12           13           16           17          \n",
       "1 1.263049e-01 0.1654233795 7.328658e-09 9.233854e-02 0.0067175121 0.0000459178\n",
       "2 5.050092e-02 0.0996778054 2.189844e-09 3.317680e-02 0.0686577381 0.0635874183\n",
       "3 3.272560e-01 0.0962111024 6.546218e-01 3.718897e-01 0.3843880589 0.1985110096\n",
       "4 9.756403e-02 0.0004675592 1.758642e-01 1.070045e-02 0.1809874484 0.0624543495\n",
       "5 2.821627e-01 0.0847782604 8.056090e-09 4.745966e-02 0.0796850737 0.0244467048\n",
       "6 1.671916e-03 0.0018494216 1.174766e-06 6.930812e-04 0.0007012574 0.0008616317\n",
       "7 4.072760e-09 0.0313794853 1.695128e-01 5.663599e-12 0.0639331949 0.0327628392\n",
       "8 1.145396e-01 0.5202129862 2.226260e-10 4.437417e-01 0.2149297166 0.6173301292\n",
       "  18          20           22           23           24           25          \n",
       "1 0.003999055 0.0008342676 1.499579e-03 1.358775e-08 5.731362e-03 3.601053e-03\n",
       "2 0.028088413 0.0104261446 4.516029e-02 2.052643e-08 3.104542e-01 2.768788e-02\n",
       "3 0.319438841 0.1266601605 1.114239e-01 9.579529e-02 6.027873e-02 2.454974e-01\n",
       "4 0.219664655 0.0512951506 2.020673e-02 6.561306e-01 1.311140e-02 1.501257e-01\n",
       "5 0.060509862 0.0266294206 1.086986e-02 6.085133e-09 6.228577e-03 7.622358e-03\n",
       "6 0.003733247 0.0002639809 5.356236e-04 3.148571e-10 3.432586e-03 3.722851e-04\n",
       "7 0.022448740 0.0009842044 1.960578e-08 2.480741e-01 8.524304e-08 3.017271e-09\n",
       "8 0.342117186 0.7829066708 8.103040e-01 8.371516e-09 6.007630e-01 5.650933e-01\n",
       "  26           28          \n",
       "1 4.206901e-03 7.302028e-03\n",
       "2 4.029953e-02 6.828947e-02\n",
       "3 9.185253e-02 7.569814e-02\n",
       "4 5.370938e-02 2.486059e-02\n",
       "5 1.297701e-02 8.065337e-02\n",
       "6 8.651373e-04 1.618554e-03\n",
       "7 1.502116e-09 4.376984e-09\n",
       "8 7.960895e-01 7.415778e-01"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "epic_res <- deconvolute(df_pseudobulk_raw, \"epic\", indications = \"hnsc\",tumor = TRUE)\n",
    "epic_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "907f133e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running mcp_counter\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 11 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>T cell                      </td><td>84600.9321</td><td>  1434.4501</td><td>   0.6107113</td><td> 6240.58384</td><td>   25.757539</td><td>5.079325e+04</td><td> 5504.37994</td><td>102219.860</td><td> 24450.5701</td><td>65259.1620</td><td>  1963.09634</td><td>  616.15913</td><td>2.183494e+04</td><td>   272.61105</td><td> 54865.8883</td><td>  3323.2955</td><td>  2264.8748</td></tr>\n",
       "\t<tr><td>T cell CD8+                 </td><td>84499.2340</td><td>   117.7632</td><td>   0.0000000</td><td> 2947.37740</td><td>    2.300014</td><td>4.171982e+04</td><td>  936.39307</td><td> 63997.920</td><td> 17181.2230</td><td>81322.3500</td><td>    83.51170</td><td>    0.00000</td><td>3.950799e+04</td><td>     0.00000</td><td> 45791.6900</td><td>  9884.4970</td><td>   225.1623</td></tr>\n",
       "\t<tr><td>cytotoxicity score          </td><td>90428.9070</td><td>  8746.6945</td><td>   1.4128596</td><td>  263.37558</td><td> 5596.584018</td><td>6.755179e+04</td><td>  657.20762</td><td>107403.579</td><td> 47542.1947</td><td>61104.4841</td><td>124299.58548</td><td>  217.94123</td><td>4.040681e+04</td><td>   112.64037</td><td> 25257.0307</td><td>  1320.6691</td><td>  2187.9292</td></tr>\n",
       "\t<tr><td>NK cell                     </td><td> 9334.2647</td><td>   226.6376</td><td>   0.0000000</td><td>   25.79289</td><td>   23.564912</td><td>2.345593e+03</td><td>   34.27942</td><td>  2321.318</td><td>  3430.6542</td><td> 8411.4154</td><td>    36.76510</td><td>   70.04829</td><td>1.188957e+03</td><td>    41.63458</td><td>   799.6714</td><td>   247.7218</td><td>   386.9225</td></tr>\n",
       "\t<tr><td>B cell                      </td><td> 6766.6397</td><td>  1444.5750</td><td>   0.0000000</td><td> 8179.76127</td><td> 7033.177959</td><td>1.235830e+02</td><td> 5062.79249</td><td>  2963.484</td><td>   584.9619</td><td> 2720.1427</td><td>    86.54754</td><td>  238.95233</td><td>2.757059e+01</td><td>   191.97419</td><td>  4068.2289</td><td>   662.1205</td><td>  1383.6902</td></tr>\n",
       "\t<tr><td>Monocyte                    </td><td> 2156.6126</td><td>  3907.4804</td><td>  15.3282600</td><td> 2429.85175</td><td> 1732.082709</td><td>1.148558e+02</td><td>17203.41370</td><td>  6860.857</td><td>  9079.0363</td><td> 3724.7856</td><td>  2190.46687</td><td> 2892.69249</td><td>3.299991e-01</td><td>  1651.92935</td><td>  6630.9230</td><td>  9372.8494</td><td> 15639.7851</td></tr>\n",
       "\t<tr><td>Macrophage/Monocyte         </td><td> 2156.6126</td><td>  3907.4804</td><td>  15.3282600</td><td> 2429.85175</td><td> 1732.082709</td><td>1.148558e+02</td><td>17203.41370</td><td>  6860.857</td><td>  9079.0363</td><td> 3724.7856</td><td>  2190.46687</td><td> 2892.69249</td><td>3.299991e-01</td><td>  1651.92935</td><td>  6630.9230</td><td>  9372.8494</td><td> 15639.7851</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell      </td><td>  458.0994</td><td>  2683.7643</td><td>   0.0000000</td><td> 5176.95534</td><td>   64.916666</td><td>6.820084e-01</td><td> 8319.60241</td><td>  8182.984</td><td>   567.7210</td><td>  861.0303</td><td>   245.35925</td><td>  811.24103</td><td>0.000000e+00</td><td>   356.79698</td><td>  2367.8107</td><td>  2036.5475</td><td>  1653.2589</td></tr>\n",
       "\t<tr><td>Neutrophil                  </td><td> 1809.9431</td><td>  9979.4449</td><td> 131.1233027</td><td> 1329.02343</td><td>  635.487155</td><td>7.688076e+02</td><td>  536.81927</td><td>  3245.282</td><td>  3335.9256</td><td> 4595.6661</td><td> 18986.87437</td><td> 1362.44014</td><td>2.586612e+02</td><td>  1890.76718</td><td>  5802.8248</td><td>  2224.2755</td><td>  6455.5063</td></tr>\n",
       "\t<tr><td>Endothelial cell            </td><td>  650.6614</td><td> 10865.9953</td><td>   7.2223078</td><td> 5229.38514</td><td> 1038.786575</td><td>2.022827e+02</td><td> 1098.23924</td><td> 10898.655</td><td>  4029.7887</td><td> 6215.6852</td><td>  3650.89219</td><td> 1733.41890</td><td>3.048576e+01</td><td>  1104.02787</td><td>  5784.8575</td><td>  2158.1843</td><td>  9212.3249</td></tr>\n",
       "\t<tr><td>Cancer associated fibroblast</td><td>26741.5125</td><td>243012.1124</td><td>1922.4389500</td><td>61702.71771</td><td>93254.445300</td><td>1.074890e+03</td><td>17090.10676</td><td>269469.338</td><td>206991.3914</td><td>87504.6105</td><td> 36088.12349</td><td>69673.57531</td><td>1.208527e+01</td><td>205157.90713</td><td>347399.6938</td><td>205005.6704</td><td>546518.8186</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 11 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t T cell                       & 84600.9321 &   1434.4501 &    0.6107113 &  6240.58384 &    25.757539 & 5.079325e+04 &  5504.37994 & 102219.860 &  24450.5701 & 65259.1620 &   1963.09634 &   616.15913 & 2.183494e+04 &    272.61105 &  54865.8883 &   3323.2955 &   2264.8748\\\\\n",
       "\t T cell CD8+                  & 84499.2340 &    117.7632 &    0.0000000 &  2947.37740 &     2.300014 & 4.171982e+04 &   936.39307 &  63997.920 &  17181.2230 & 81322.3500 &     83.51170 &     0.00000 & 3.950799e+04 &      0.00000 &  45791.6900 &   9884.4970 &    225.1623\\\\\n",
       "\t cytotoxicity score           & 90428.9070 &   8746.6945 &    1.4128596 &   263.37558 &  5596.584018 & 6.755179e+04 &   657.20762 & 107403.579 &  47542.1947 & 61104.4841 & 124299.58548 &   217.94123 & 4.040681e+04 &    112.64037 &  25257.0307 &   1320.6691 &   2187.9292\\\\\n",
       "\t NK cell                      &  9334.2647 &    226.6376 &    0.0000000 &    25.79289 &    23.564912 & 2.345593e+03 &    34.27942 &   2321.318 &   3430.6542 &  8411.4154 &     36.76510 &    70.04829 & 1.188957e+03 &     41.63458 &    799.6714 &    247.7218 &    386.9225\\\\\n",
       "\t B cell                       &  6766.6397 &   1444.5750 &    0.0000000 &  8179.76127 &  7033.177959 & 1.235830e+02 &  5062.79249 &   2963.484 &    584.9619 &  2720.1427 &     86.54754 &   238.95233 & 2.757059e+01 &    191.97419 &   4068.2289 &    662.1205 &   1383.6902\\\\\n",
       "\t Monocyte                     &  2156.6126 &   3907.4804 &   15.3282600 &  2429.85175 &  1732.082709 & 1.148558e+02 & 17203.41370 &   6860.857 &   9079.0363 &  3724.7856 &   2190.46687 &  2892.69249 & 3.299991e-01 &   1651.92935 &   6630.9230 &   9372.8494 &  15639.7851\\\\\n",
       "\t Macrophage/Monocyte          &  2156.6126 &   3907.4804 &   15.3282600 &  2429.85175 &  1732.082709 & 1.148558e+02 & 17203.41370 &   6860.857 &   9079.0363 &  3724.7856 &   2190.46687 &  2892.69249 & 3.299991e-01 &   1651.92935 &   6630.9230 &   9372.8494 &  15639.7851\\\\\n",
       "\t Myeloid dendritic cell       &   458.0994 &   2683.7643 &    0.0000000 &  5176.95534 &    64.916666 & 6.820084e-01 &  8319.60241 &   8182.984 &    567.7210 &   861.0303 &    245.35925 &   811.24103 & 0.000000e+00 &    356.79698 &   2367.8107 &   2036.5475 &   1653.2589\\\\\n",
       "\t Neutrophil                   &  1809.9431 &   9979.4449 &  131.1233027 &  1329.02343 &   635.487155 & 7.688076e+02 &   536.81927 &   3245.282 &   3335.9256 &  4595.6661 &  18986.87437 &  1362.44014 & 2.586612e+02 &   1890.76718 &   5802.8248 &   2224.2755 &   6455.5063\\\\\n",
       "\t Endothelial cell             &   650.6614 &  10865.9953 &    7.2223078 &  5229.38514 &  1038.786575 & 2.022827e+02 &  1098.23924 &  10898.655 &   4029.7887 &  6215.6852 &   3650.89219 &  1733.41890 & 3.048576e+01 &   1104.02787 &   5784.8575 &   2158.1843 &   9212.3249\\\\\n",
       "\t Cancer associated fibroblast & 26741.5125 & 243012.1124 & 1922.4389500 & 61702.71771 & 93254.445300 & 1.074890e+03 & 17090.10676 & 269469.338 & 206991.3914 & 87504.6105 &  36088.12349 & 69673.57531 & 1.208527e+01 & 205157.90713 & 347399.6938 & 205005.6704 & 546518.8186\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 11 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| T cell                       | 84600.9321 |   1434.4501 |    0.6107113 |  6240.58384 |    25.757539 | 5.079325e+04 |  5504.37994 | 102219.860 |  24450.5701 | 65259.1620 |   1963.09634 |   616.15913 | 2.183494e+04 |    272.61105 |  54865.8883 |   3323.2955 |   2264.8748 |\n",
       "| T cell CD8+                  | 84499.2340 |    117.7632 |    0.0000000 |  2947.37740 |     2.300014 | 4.171982e+04 |   936.39307 |  63997.920 |  17181.2230 | 81322.3500 |     83.51170 |     0.00000 | 3.950799e+04 |      0.00000 |  45791.6900 |   9884.4970 |    225.1623 |\n",
       "| cytotoxicity score           | 90428.9070 |   8746.6945 |    1.4128596 |   263.37558 |  5596.584018 | 6.755179e+04 |   657.20762 | 107403.579 |  47542.1947 | 61104.4841 | 124299.58548 |   217.94123 | 4.040681e+04 |    112.64037 |  25257.0307 |   1320.6691 |   2187.9292 |\n",
       "| NK cell                      |  9334.2647 |    226.6376 |    0.0000000 |    25.79289 |    23.564912 | 2.345593e+03 |    34.27942 |   2321.318 |   3430.6542 |  8411.4154 |     36.76510 |    70.04829 | 1.188957e+03 |     41.63458 |    799.6714 |    247.7218 |    386.9225 |\n",
       "| B cell                       |  6766.6397 |   1444.5750 |    0.0000000 |  8179.76127 |  7033.177959 | 1.235830e+02 |  5062.79249 |   2963.484 |    584.9619 |  2720.1427 |     86.54754 |   238.95233 | 2.757059e+01 |    191.97419 |   4068.2289 |    662.1205 |   1383.6902 |\n",
       "| Monocyte                     |  2156.6126 |   3907.4804 |   15.3282600 |  2429.85175 |  1732.082709 | 1.148558e+02 | 17203.41370 |   6860.857 |   9079.0363 |  3724.7856 |   2190.46687 |  2892.69249 | 3.299991e-01 |   1651.92935 |   6630.9230 |   9372.8494 |  15639.7851 |\n",
       "| Macrophage/Monocyte          |  2156.6126 |   3907.4804 |   15.3282600 |  2429.85175 |  1732.082709 | 1.148558e+02 | 17203.41370 |   6860.857 |   9079.0363 |  3724.7856 |   2190.46687 |  2892.69249 | 3.299991e-01 |   1651.92935 |   6630.9230 |   9372.8494 |  15639.7851 |\n",
       "| Myeloid dendritic cell       |   458.0994 |   2683.7643 |    0.0000000 |  5176.95534 |    64.916666 | 6.820084e-01 |  8319.60241 |   8182.984 |    567.7210 |   861.0303 |    245.35925 |   811.24103 | 0.000000e+00 |    356.79698 |   2367.8107 |   2036.5475 |   1653.2589 |\n",
       "| Neutrophil                   |  1809.9431 |   9979.4449 |  131.1233027 |  1329.02343 |   635.487155 | 7.688076e+02 |   536.81927 |   3245.282 |   3335.9256 |  4595.6661 |  18986.87437 |  1362.44014 | 2.586612e+02 |   1890.76718 |   5802.8248 |   2224.2755 |   6455.5063 |\n",
       "| Endothelial cell             |   650.6614 |  10865.9953 |    7.2223078 |  5229.38514 |  1038.786575 | 2.022827e+02 |  1098.23924 |  10898.655 |   4029.7887 |  6215.6852 |   3650.89219 |  1733.41890 | 3.048576e+01 |   1104.02787 |   5784.8575 |   2158.1843 |   9212.3249 |\n",
       "| Cancer associated fibroblast | 26741.5125 | 243012.1124 | 1922.4389500 | 61702.71771 | 93254.445300 | 1.074890e+03 | 17090.10676 | 269469.338 | 206991.3914 | 87504.6105 |  36088.12349 | 69673.57531 | 1.208527e+01 | 205157.90713 | 347399.6938 | 205005.6704 | 546518.8186 |\n",
       "\n"
      ],
      "text/plain": [
       "   cell_type                    0          6           7            8          \n",
       "1  T cell                       84600.9321   1434.4501    0.6107113  6240.58384\n",
       "2  T cell CD8+                  84499.2340    117.7632    0.0000000  2947.37740\n",
       "3  cytotoxicity score           90428.9070   8746.6945    1.4128596   263.37558\n",
       "4  NK cell                       9334.2647    226.6376    0.0000000    25.79289\n",
       "5  B cell                        6766.6397   1444.5750    0.0000000  8179.76127\n",
       "6  Monocyte                      2156.6126   3907.4804   15.3282600  2429.85175\n",
       "7  Macrophage/Monocyte           2156.6126   3907.4804   15.3282600  2429.85175\n",
       "8  Myeloid dendritic cell         458.0994   2683.7643    0.0000000  5176.95534\n",
       "9  Neutrophil                    1809.9431   9979.4449  131.1233027  1329.02343\n",
       "10 Endothelial cell               650.6614  10865.9953    7.2223078  5229.38514\n",
       "11 Cancer associated fibroblast 26741.5125 243012.1124 1922.4389500 61702.71771\n",
       "   10           12           13          16         17          18        \n",
       "1     25.757539 5.079325e+04  5504.37994 102219.860  24450.5701 65259.1620\n",
       "2      2.300014 4.171982e+04   936.39307  63997.920  17181.2230 81322.3500\n",
       "3   5596.584018 6.755179e+04   657.20762 107403.579  47542.1947 61104.4841\n",
       "4     23.564912 2.345593e+03    34.27942   2321.318   3430.6542  8411.4154\n",
       "5   7033.177959 1.235830e+02  5062.79249   2963.484    584.9619  2720.1427\n",
       "6   1732.082709 1.148558e+02 17203.41370   6860.857   9079.0363  3724.7856\n",
       "7   1732.082709 1.148558e+02 17203.41370   6860.857   9079.0363  3724.7856\n",
       "8     64.916666 6.820084e-01  8319.60241   8182.984    567.7210   861.0303\n",
       "9    635.487155 7.688076e+02   536.81927   3245.282   3335.9256  4595.6661\n",
       "10  1038.786575 2.022827e+02  1098.23924  10898.655   4029.7887  6215.6852\n",
       "11 93254.445300 1.074890e+03 17090.10676 269469.338 206991.3914 87504.6105\n",
       "   20           22          23           24           25          26         \n",
       "1    1963.09634   616.15913 2.183494e+04    272.61105  54865.8883   3323.2955\n",
       "2      83.51170     0.00000 3.950799e+04      0.00000  45791.6900   9884.4970\n",
       "3  124299.58548   217.94123 4.040681e+04    112.64037  25257.0307   1320.6691\n",
       "4      36.76510    70.04829 1.188957e+03     41.63458    799.6714    247.7218\n",
       "5      86.54754   238.95233 2.757059e+01    191.97419   4068.2289    662.1205\n",
       "6    2190.46687  2892.69249 3.299991e-01   1651.92935   6630.9230   9372.8494\n",
       "7    2190.46687  2892.69249 3.299991e-01   1651.92935   6630.9230   9372.8494\n",
       "8     245.35925   811.24103 0.000000e+00    356.79698   2367.8107   2036.5475\n",
       "9   18986.87437  1362.44014 2.586612e+02   1890.76718   5802.8248   2224.2755\n",
       "10   3650.89219  1733.41890 3.048576e+01   1104.02787   5784.8575   2158.1843\n",
       "11  36088.12349 69673.57531 1.208527e+01 205157.90713 347399.6938 205005.6704\n",
       "   28         \n",
       "1    2264.8748\n",
       "2     225.1623\n",
       "3    2187.9292\n",
       "4     386.9225\n",
       "5    1383.6902\n",
       "6   15639.7851\n",
       "7   15639.7851\n",
       "8    1653.2589\n",
       "9    6455.5063\n",
       "10   9212.3249\n",
       "11 546518.8186"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mcp_counter_res <- deconvolute(df_pseudobulk_raw, \"mcp_counter\")\n",
    "mcp_counter_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a7a5d65b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running timer\n",
      "\n",
      "## Enter batch mode\n",
      "\n",
      "\n",
      "\n",
      "## Loading immune gene expression\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"Outlier genes: ACTB ANXA2 B2M CD74 ELK2AP EPCAM FOS FTH1 FTL GAPDH HERPUD1 IGLL5 KRT14 KRT17 MTRNR2L2 MTRNR2L8 PLA2G2A RGS1 RPL7 RPS8 TMSB4X TPSAB1 TSC22D3\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "## Removing the batch effect of /tmp/Rtmpoc65Eh/file60ac61c211de\n",
      "\n",
      "\n",
      "Found2batches\n",
      "\n",
      "Adjusting for0covariate(s) or covariate level(s)\n",
      "\n",
      "Standardizing Data across genes\n",
      "\n",
      "Fitting L/S model and finding priors\n",
      "\n",
      "Finding parametric adjustments\n",
      "\n",
      "Adjusting the Data\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>B cell                </td><td>0.0000000</td><td>0.1115789</td><td>0.1070973</td><td>0.27173892</td><td>0.2150258</td><td>0.2891745</td><td>0.00000000</td><td>0.000000</td><td>0.1343590</td><td>0.0000000</td><td>0.1278986</td><td>0.08122948</td><td>0.1707267</td><td>0.09367403</td><td>0.0000000</td><td>0.11455096</td><td>0.1462103</td></tr>\n",
       "\t<tr><td>T cell CD4+           </td><td>0.3360547</td><td>0.0000000</td><td>0.0000000</td><td>0.05615841</td><td>0.0000000</td><td>0.1369408</td><td>0.02227725</td><td>1.621894</td><td>0.0000000</td><td>0.5517141</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.9146703</td><td>0.00000000</td><td>0.0000000</td></tr>\n",
       "\t<tr><td>T cell CD8+           </td><td>1.6778887</td><td>0.0000000</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>1.0127532</td><td>0.00000000</td><td>1.506701</td><td>0.5489824</td><td>1.1026277</td><td>0.0000000</td><td>0.00000000</td><td>0.2069916</td><td>0.00000000</td><td>0.3801001</td><td>0.00000000</td><td>0.0000000</td></tr>\n",
       "\t<tr><td>Neutrophil            </td><td>1.3527869</td><td>0.0000000</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.2771996</td><td>0.00000000</td><td>1.646221</td><td>0.2914928</td><td>1.5918143</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.6110719</td><td>0.00000000</td><td>0.0000000</td></tr>\n",
       "\t<tr><td>Macrophage            </td><td>0.0000000</td><td>0.6002171</td><td>0.5627270</td><td>0.19520913</td><td>0.4594755</td><td>0.1049011</td><td>0.00000000</td><td>0.000000</td><td>0.1135212</td><td>0.0000000</td><td>0.6060068</td><td>0.55971826</td><td>0.3575724</td><td>0.59089504</td><td>0.0000000</td><td>0.51570982</td><td>0.4312684</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell</td><td>1.3750772</td><td>0.0000000</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>1.1494141</td><td>0.43457827</td><td>2.273635</td><td>0.8536645</td><td>0.9178817</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>2.0141134</td><td>0.05387208</td><td>0.4382548</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t B cell                 & 0.0000000 & 0.1115789 & 0.1070973 & 0.27173892 & 0.2150258 & 0.2891745 & 0.00000000 & 0.000000 & 0.1343590 & 0.0000000 & 0.1278986 & 0.08122948 & 0.1707267 & 0.09367403 & 0.0000000 & 0.11455096 & 0.1462103\\\\\n",
       "\t T cell CD4+            & 0.3360547 & 0.0000000 & 0.0000000 & 0.05615841 & 0.0000000 & 0.1369408 & 0.02227725 & 1.621894 & 0.0000000 & 0.5517141 & 0.0000000 & 0.00000000 & 0.0000000 & 0.00000000 & 0.9146703 & 0.00000000 & 0.0000000\\\\\n",
       "\t T cell CD8+            & 1.6778887 & 0.0000000 & 0.0000000 & 0.00000000 & 0.0000000 & 1.0127532 & 0.00000000 & 1.506701 & 0.5489824 & 1.1026277 & 0.0000000 & 0.00000000 & 0.2069916 & 0.00000000 & 0.3801001 & 0.00000000 & 0.0000000\\\\\n",
       "\t Neutrophil             & 1.3527869 & 0.0000000 & 0.0000000 & 0.00000000 & 0.0000000 & 0.2771996 & 0.00000000 & 1.646221 & 0.2914928 & 1.5918143 & 0.0000000 & 0.00000000 & 0.0000000 & 0.00000000 & 0.6110719 & 0.00000000 & 0.0000000\\\\\n",
       "\t Macrophage             & 0.0000000 & 0.6002171 & 0.5627270 & 0.19520913 & 0.4594755 & 0.1049011 & 0.00000000 & 0.000000 & 0.1135212 & 0.0000000 & 0.6060068 & 0.55971826 & 0.3575724 & 0.59089504 & 0.0000000 & 0.51570982 & 0.4312684\\\\\n",
       "\t Myeloid dendritic cell & 1.3750772 & 0.0000000 & 0.0000000 & 0.00000000 & 0.0000000 & 1.1494141 & 0.43457827 & 2.273635 & 0.8536645 & 0.9178817 & 0.0000000 & 0.00000000 & 0.0000000 & 0.00000000 & 2.0141134 & 0.05387208 & 0.4382548\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| B cell                 | 0.0000000 | 0.1115789 | 0.1070973 | 0.27173892 | 0.2150258 | 0.2891745 | 0.00000000 | 0.000000 | 0.1343590 | 0.0000000 | 0.1278986 | 0.08122948 | 0.1707267 | 0.09367403 | 0.0000000 | 0.11455096 | 0.1462103 |\n",
       "| T cell CD4+            | 0.3360547 | 0.0000000 | 0.0000000 | 0.05615841 | 0.0000000 | 0.1369408 | 0.02227725 | 1.621894 | 0.0000000 | 0.5517141 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.9146703 | 0.00000000 | 0.0000000 |\n",
       "| T cell CD8+            | 1.6778887 | 0.0000000 | 0.0000000 | 0.00000000 | 0.0000000 | 1.0127532 | 0.00000000 | 1.506701 | 0.5489824 | 1.1026277 | 0.0000000 | 0.00000000 | 0.2069916 | 0.00000000 | 0.3801001 | 0.00000000 | 0.0000000 |\n",
       "| Neutrophil             | 1.3527869 | 0.0000000 | 0.0000000 | 0.00000000 | 0.0000000 | 0.2771996 | 0.00000000 | 1.646221 | 0.2914928 | 1.5918143 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.6110719 | 0.00000000 | 0.0000000 |\n",
       "| Macrophage             | 0.0000000 | 0.6002171 | 0.5627270 | 0.19520913 | 0.4594755 | 0.1049011 | 0.00000000 | 0.000000 | 0.1135212 | 0.0000000 | 0.6060068 | 0.55971826 | 0.3575724 | 0.59089504 | 0.0000000 | 0.51570982 | 0.4312684 |\n",
       "| Myeloid dendritic cell | 1.3750772 | 0.0000000 | 0.0000000 | 0.00000000 | 0.0000000 | 1.1494141 | 0.43457827 | 2.273635 | 0.8536645 | 0.9178817 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 2.0141134 | 0.05387208 | 0.4382548 |\n",
       "\n"
      ],
      "text/plain": [
       "  cell_type              0         6         7         8          10       \n",
       "1 B cell                 0.0000000 0.1115789 0.1070973 0.27173892 0.2150258\n",
       "2 T cell CD4+            0.3360547 0.0000000 0.0000000 0.05615841 0.0000000\n",
       "3 T cell CD8+            1.6778887 0.0000000 0.0000000 0.00000000 0.0000000\n",
       "4 Neutrophil             1.3527869 0.0000000 0.0000000 0.00000000 0.0000000\n",
       "5 Macrophage             0.0000000 0.6002171 0.5627270 0.19520913 0.4594755\n",
       "6 Myeloid dendritic cell 1.3750772 0.0000000 0.0000000 0.00000000 0.0000000\n",
       "  12        13         16       17        18        20        22        \n",
       "1 0.2891745 0.00000000 0.000000 0.1343590 0.0000000 0.1278986 0.08122948\n",
       "2 0.1369408 0.02227725 1.621894 0.0000000 0.5517141 0.0000000 0.00000000\n",
       "3 1.0127532 0.00000000 1.506701 0.5489824 1.1026277 0.0000000 0.00000000\n",
       "4 0.2771996 0.00000000 1.646221 0.2914928 1.5918143 0.0000000 0.00000000\n",
       "5 0.1049011 0.00000000 0.000000 0.1135212 0.0000000 0.6060068 0.55971826\n",
       "6 1.1494141 0.43457827 2.273635 0.8536645 0.9178817 0.0000000 0.00000000\n",
       "  23        24         25        26         28       \n",
       "1 0.1707267 0.09367403 0.0000000 0.11455096 0.1462103\n",
       "2 0.0000000 0.00000000 0.9146703 0.00000000 0.0000000\n",
       "3 0.2069916 0.00000000 0.3801001 0.00000000 0.0000000\n",
       "4 0.0000000 0.00000000 0.6110719 0.00000000 0.0000000\n",
       "5 0.3575724 0.59089504 0.0000000 0.51570982 0.4312684\n",
       "6 0.0000000 0.00000000 2.0141134 0.05387208 0.4382548"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timer_res <- deconvolute(df_pseudobulk_raw, \"timer\", indications = rep(\"hnsc\",times = 17),tumor = TRUE)\n",
    "timer_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e6996534",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running abis\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 17 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Monocyte conventional      </td><td>    4.49</td><td> 614.000</td><td> 0.070600</td><td>  86.50</td><td>   2.680</td><td>   20.90</td><td> -38.10</td><td>  196.00</td><td>  245.0</td><td>  936.0</td><td> 305.0</td><td> -42.80</td><td>-1.89e-01</td><td> 136.000</td><td>    7.77</td><td> 148.0</td><td>1120.00</td></tr>\n",
       "\t<tr><td>NK cell                    </td><td>-3520.00</td><td> 657.000</td><td>-0.012900</td><td>  21.40</td><td>   2.730</td><td>-1080.00</td><td> -18.60</td><td> -303.00</td><td>  214.0</td><td>-1690.0</td><td> 264.0</td><td> 123.00</td><td>-1.86e+02</td><td>  93.400</td><td>  200.00</td><td> 321.0</td><td> 546.00</td></tr>\n",
       "\t<tr><td>T cell CD8+ memory         </td><td>10200.00</td><td> 238.000</td><td>-0.013700</td><td>-120.00</td><td>  -8.620</td><td> 4930.00</td><td>  25.40</td><td> 8320.00</td><td> 3920.0</td><td>10300.0</td><td>-244.0</td><td> -25.10</td><td> 5.19e+03</td><td>  -0.972</td><td> 5100.00</td><td> -85.0</td><td> -82.70</td></tr>\n",
       "\t<tr><td>T cell CD4+ naive          </td><td>  206.00</td><td>4050.000</td><td> 1.010000</td><td> 557.00</td><td> 152.000</td><td> -283.00</td><td> 186.00</td><td>-6910.00</td><td> 1140.0</td><td>-1420.0</td><td>2550.0</td><td> 445.00</td><td>-1.01e+03</td><td> 623.000</td><td>  -80.80</td><td>1140.0</td><td>3180.00</td></tr>\n",
       "\t<tr><td>T cell CD8+ naive          </td><td>    1.47</td><td>-408.000</td><td>-0.017700</td><td> -72.90</td><td>  77.500</td><td>  640.00</td><td>  49.60</td><td> 2410.00</td><td> -562.0</td><td> 1370.0</td><td> 134.0</td><td> -36.70</td><td> 1.31e+03</td><td>-145.000</td><td>  533.00</td><td> 196.0</td><td>  41.80</td></tr>\n",
       "\t<tr><td>B cell naive               </td><td>  -84.50</td><td>-186.000</td><td> 0.000961</td><td> 971.00</td><td> -20.000</td><td>   -7.37</td><td> 321.00</td><td> -299.00</td><td>  -82.0</td><td> -125.0</td><td> -75.5</td><td>  11.90</td><td>-5.15e-01</td><td> -28.800</td><td> -234.00</td><td>-165.0</td><td>-212.00</td></tr>\n",
       "\t<tr><td>T cell CD4+ memory         </td><td> 5370.00</td><td>2780.000</td><td>-0.178000</td><td>1940.00</td><td> 138.000</td><td> 2050.00</td><td>1500.00</td><td>22400.00</td><td> 2860.0</td><td> 8570.0</td><td> 490.0</td><td>1060.00</td><td> 1.87e+03</td><td> 591.000</td><td>15000.00</td><td>3550.0</td><td>3380.00</td></tr>\n",
       "\t<tr><td>T cell MAIT                </td><td> 3130.00</td><td>-186.000</td><td> 0.025900</td><td> 368.00</td><td>-115.000</td><td>  705.00</td><td> 339.00</td><td> 1610.00</td><td>  344.0</td><td>-1890.0</td><td> 287.0</td><td>  30.70</td><td>-2.15e+02</td><td> 146.000</td><td> 1330.00</td><td> 552.0</td><td>  -7.46</td></tr>\n",
       "\t<tr><td>T cell gamma delta VD2     </td><td> 6300.00</td><td>  -0.307</td><td> 0.001190</td><td> 174.00</td><td>  63.600</td><td> 7850.00</td><td> -17.40</td><td> 9680.00</td><td> 4450.0</td><td> 9140.0</td><td>-144.0</td><td>  34.40</td><td> 8.40e+02</td><td>  31.800</td><td> 7390.00</td><td>  52.6</td><td>-122.00</td></tr>\n",
       "\t<tr><td>Neutrophil                 </td><td>  289.00</td><td> 730.000</td><td> 0.043000</td><td> 488.00</td><td> 169.000</td><td>   95.90</td><td>  88.60</td><td> 1200.00</td><td> 1160.0</td><td> 1350.0</td><td>1330.0</td><td> 244.00</td><td>-4.85e-01</td><td> 675.000</td><td> 1420.00</td><td> 927.0</td><td>1900.00</td></tr>\n",
       "\t<tr><td>T cell gamma delta non-VD2 </td><td> 1650.00</td><td>-834.000</td><td> 0.016800</td><td>  -7.32</td><td> 136.000</td><td>-2400.00</td><td> -34.50</td><td>-4400.00</td><td>-2000.0</td><td>  -80.7</td><td>  29.4</td><td>-135.00</td><td>-3.05e+03</td><td> -83.200</td><td>-4860.00</td><td>-363.0</td><td>-551.00</td></tr>\n",
       "\t<tr><td>Basophil                   </td><td>   17.80</td><td>  52.600</td><td> 0.000819</td><td> 161.00</td><td>   0.345</td><td>    2.11</td><td>   4.57</td><td>   42.70</td><td>   20.2</td><td>   82.7</td><td>  48.1</td><td>  16.00</td><td>-2.92e-02</td><td>  14.700</td><td>   82.20</td><td>  39.3</td><td>  37.30</td></tr>\n",
       "\t<tr><td>Monocyte non-conventional  </td><td>    1.95</td><td>-105.000</td><td> 0.068600</td><td> -34.90</td><td>  -8.540</td><td>   12.70</td><td>  -9.25</td><td>   -2.42</td><td>  -30.3</td><td> -156.0</td><td> -14.4</td><td> -11.50</td><td>-1.90e+00</td><td> -30.600</td><td>   24.90</td><td> -41.2</td><td>-203.00</td></tr>\n",
       "\t<tr><td>B cell memory              </td><td>  295.00</td><td> 313.000</td><td>-0.000601</td><td>-227.00</td><td> 200.000</td><td>  -33.80</td><td>  43.40</td><td>  461.00</td><td>   56.0</td><td>  159.0</td><td> 103.0</td><td>  -7.34</td><td>-1.42e+01</td><td>  33.800</td><td>  401.00</td><td> 216.0</td><td> 212.00</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell     </td><td>   58.80</td><td> 181.000</td><td>-0.004180</td><td>  34.40</td><td>   6.710</td><td>    1.44</td><td>  87.10</td><td>  222.00</td><td>   78.3</td><td>   69.5</td><td>  41.0</td><td> 195.00</td><td>-1.19e-01</td><td> 135.000</td><td>  484.00</td><td> 311.0</td><td> 250.00</td></tr>\n",
       "\t<tr><td>Plasmacytoid dendritic cell</td><td>   32.90</td><td> 200.000</td><td> 0.000131</td><td>  97.70</td><td>   9.190</td><td>   -1.24</td><td>  74.60</td><td>  282.00</td><td>   93.2</td><td>  179.0</td><td> 115.0</td><td>  14.80</td><td>-2.71e-01</td><td>  42.700</td><td>  238.00</td><td> 220.0</td><td> 255.00</td></tr>\n",
       "\t<tr><td>B cell plasma immature     </td><td>  146.00</td><td> 126.000</td><td> 0.000807</td><td>  17.40</td><td> 444.000</td><td>    1.35</td><td> 142.00</td><td>   88.00</td><td>  119.0</td><td>  322.0</td><td>  47.9</td><td>  16.70</td><td>-2.24e-02</td><td>  15.400</td><td>  259.00</td><td>  76.7</td><td> 413.00</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 17 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t Monocyte conventional       &     4.49 &  614.000 &  0.070600 &   86.50 &    2.680 &    20.90 &  -38.10 &   196.00 &   245.0 &   936.0 &  305.0 &  -42.80 & -1.89e-01 &  136.000 &     7.77 &  148.0 & 1120.00\\\\\n",
       "\t NK cell                     & -3520.00 &  657.000 & -0.012900 &   21.40 &    2.730 & -1080.00 &  -18.60 &  -303.00 &   214.0 & -1690.0 &  264.0 &  123.00 & -1.86e+02 &   93.400 &   200.00 &  321.0 &  546.00\\\\\n",
       "\t T cell CD8+ memory          & 10200.00 &  238.000 & -0.013700 & -120.00 &   -8.620 &  4930.00 &   25.40 &  8320.00 &  3920.0 & 10300.0 & -244.0 &  -25.10 &  5.19e+03 &   -0.972 &  5100.00 &  -85.0 &  -82.70\\\\\n",
       "\t T cell CD4+ naive           &   206.00 & 4050.000 &  1.010000 &  557.00 &  152.000 &  -283.00 &  186.00 & -6910.00 &  1140.0 & -1420.0 & 2550.0 &  445.00 & -1.01e+03 &  623.000 &   -80.80 & 1140.0 & 3180.00\\\\\n",
       "\t T cell CD8+ naive           &     1.47 & -408.000 & -0.017700 &  -72.90 &   77.500 &   640.00 &   49.60 &  2410.00 &  -562.0 &  1370.0 &  134.0 &  -36.70 &  1.31e+03 & -145.000 &   533.00 &  196.0 &   41.80\\\\\n",
       "\t B cell naive                &   -84.50 & -186.000 &  0.000961 &  971.00 &  -20.000 &    -7.37 &  321.00 &  -299.00 &   -82.0 &  -125.0 &  -75.5 &   11.90 & -5.15e-01 &  -28.800 &  -234.00 & -165.0 & -212.00\\\\\n",
       "\t T cell CD4+ memory          &  5370.00 & 2780.000 & -0.178000 & 1940.00 &  138.000 &  2050.00 & 1500.00 & 22400.00 &  2860.0 &  8570.0 &  490.0 & 1060.00 &  1.87e+03 &  591.000 & 15000.00 & 3550.0 & 3380.00\\\\\n",
       "\t T cell MAIT                 &  3130.00 & -186.000 &  0.025900 &  368.00 & -115.000 &   705.00 &  339.00 &  1610.00 &   344.0 & -1890.0 &  287.0 &   30.70 & -2.15e+02 &  146.000 &  1330.00 &  552.0 &   -7.46\\\\\n",
       "\t T cell gamma delta VD2      &  6300.00 &   -0.307 &  0.001190 &  174.00 &   63.600 &  7850.00 &  -17.40 &  9680.00 &  4450.0 &  9140.0 & -144.0 &   34.40 &  8.40e+02 &   31.800 &  7390.00 &   52.6 & -122.00\\\\\n",
       "\t Neutrophil                  &   289.00 &  730.000 &  0.043000 &  488.00 &  169.000 &    95.90 &   88.60 &  1200.00 &  1160.0 &  1350.0 & 1330.0 &  244.00 & -4.85e-01 &  675.000 &  1420.00 &  927.0 & 1900.00\\\\\n",
       "\t T cell gamma delta non-VD2  &  1650.00 & -834.000 &  0.016800 &   -7.32 &  136.000 & -2400.00 &  -34.50 & -4400.00 & -2000.0 &   -80.7 &   29.4 & -135.00 & -3.05e+03 &  -83.200 & -4860.00 & -363.0 & -551.00\\\\\n",
       "\t Basophil                    &    17.80 &   52.600 &  0.000819 &  161.00 &    0.345 &     2.11 &    4.57 &    42.70 &    20.2 &    82.7 &   48.1 &   16.00 & -2.92e-02 &   14.700 &    82.20 &   39.3 &   37.30\\\\\n",
       "\t Monocyte non-conventional   &     1.95 & -105.000 &  0.068600 &  -34.90 &   -8.540 &    12.70 &   -9.25 &    -2.42 &   -30.3 &  -156.0 &  -14.4 &  -11.50 & -1.90e+00 &  -30.600 &    24.90 &  -41.2 & -203.00\\\\\n",
       "\t B cell memory               &   295.00 &  313.000 & -0.000601 & -227.00 &  200.000 &   -33.80 &   43.40 &   461.00 &    56.0 &   159.0 &  103.0 &   -7.34 & -1.42e+01 &   33.800 &   401.00 &  216.0 &  212.00\\\\\n",
       "\t Myeloid dendritic cell      &    58.80 &  181.000 & -0.004180 &   34.40 &    6.710 &     1.44 &   87.10 &   222.00 &    78.3 &    69.5 &   41.0 &  195.00 & -1.19e-01 &  135.000 &   484.00 &  311.0 &  250.00\\\\\n",
       "\t Plasmacytoid dendritic cell &    32.90 &  200.000 &  0.000131 &   97.70 &    9.190 &    -1.24 &   74.60 &   282.00 &    93.2 &   179.0 &  115.0 &   14.80 & -2.71e-01 &   42.700 &   238.00 &  220.0 &  255.00\\\\\n",
       "\t B cell plasma immature      &   146.00 &  126.000 &  0.000807 &   17.40 &  444.000 &     1.35 &  142.00 &    88.00 &   119.0 &   322.0 &   47.9 &   16.70 & -2.24e-02 &   15.400 &   259.00 &   76.7 &  413.00\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 17 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Monocyte conventional       |     4.49 |  614.000 |  0.070600 |   86.50 |    2.680 |    20.90 |  -38.10 |   196.00 |   245.0 |   936.0 |  305.0 |  -42.80 | -1.89e-01 |  136.000 |     7.77 |  148.0 | 1120.00 |\n",
       "| NK cell                     | -3520.00 |  657.000 | -0.012900 |   21.40 |    2.730 | -1080.00 |  -18.60 |  -303.00 |   214.0 | -1690.0 |  264.0 |  123.00 | -1.86e+02 |   93.400 |   200.00 |  321.0 |  546.00 |\n",
       "| T cell CD8+ memory          | 10200.00 |  238.000 | -0.013700 | -120.00 |   -8.620 |  4930.00 |   25.40 |  8320.00 |  3920.0 | 10300.0 | -244.0 |  -25.10 |  5.19e+03 |   -0.972 |  5100.00 |  -85.0 |  -82.70 |\n",
       "| T cell CD4+ naive           |   206.00 | 4050.000 |  1.010000 |  557.00 |  152.000 |  -283.00 |  186.00 | -6910.00 |  1140.0 | -1420.0 | 2550.0 |  445.00 | -1.01e+03 |  623.000 |   -80.80 | 1140.0 | 3180.00 |\n",
       "| T cell CD8+ naive           |     1.47 | -408.000 | -0.017700 |  -72.90 |   77.500 |   640.00 |   49.60 |  2410.00 |  -562.0 |  1370.0 |  134.0 |  -36.70 |  1.31e+03 | -145.000 |   533.00 |  196.0 |   41.80 |\n",
       "| B cell naive                |   -84.50 | -186.000 |  0.000961 |  971.00 |  -20.000 |    -7.37 |  321.00 |  -299.00 |   -82.0 |  -125.0 |  -75.5 |   11.90 | -5.15e-01 |  -28.800 |  -234.00 | -165.0 | -212.00 |\n",
       "| T cell CD4+ memory          |  5370.00 | 2780.000 | -0.178000 | 1940.00 |  138.000 |  2050.00 | 1500.00 | 22400.00 |  2860.0 |  8570.0 |  490.0 | 1060.00 |  1.87e+03 |  591.000 | 15000.00 | 3550.0 | 3380.00 |\n",
       "| T cell MAIT                 |  3130.00 | -186.000 |  0.025900 |  368.00 | -115.000 |   705.00 |  339.00 |  1610.00 |   344.0 | -1890.0 |  287.0 |   30.70 | -2.15e+02 |  146.000 |  1330.00 |  552.0 |   -7.46 |\n",
       "| T cell gamma delta VD2      |  6300.00 |   -0.307 |  0.001190 |  174.00 |   63.600 |  7850.00 |  -17.40 |  9680.00 |  4450.0 |  9140.0 | -144.0 |   34.40 |  8.40e+02 |   31.800 |  7390.00 |   52.6 | -122.00 |\n",
       "| Neutrophil                  |   289.00 |  730.000 |  0.043000 |  488.00 |  169.000 |    95.90 |   88.60 |  1200.00 |  1160.0 |  1350.0 | 1330.0 |  244.00 | -4.85e-01 |  675.000 |  1420.00 |  927.0 | 1900.00 |\n",
       "| T cell gamma delta non-VD2  |  1650.00 | -834.000 |  0.016800 |   -7.32 |  136.000 | -2400.00 |  -34.50 | -4400.00 | -2000.0 |   -80.7 |   29.4 | -135.00 | -3.05e+03 |  -83.200 | -4860.00 | -363.0 | -551.00 |\n",
       "| Basophil                    |    17.80 |   52.600 |  0.000819 |  161.00 |    0.345 |     2.11 |    4.57 |    42.70 |    20.2 |    82.7 |   48.1 |   16.00 | -2.92e-02 |   14.700 |    82.20 |   39.3 |   37.30 |\n",
       "| Monocyte non-conventional   |     1.95 | -105.000 |  0.068600 |  -34.90 |   -8.540 |    12.70 |   -9.25 |    -2.42 |   -30.3 |  -156.0 |  -14.4 |  -11.50 | -1.90e+00 |  -30.600 |    24.90 |  -41.2 | -203.00 |\n",
       "| B cell memory               |   295.00 |  313.000 | -0.000601 | -227.00 |  200.000 |   -33.80 |   43.40 |   461.00 |    56.0 |   159.0 |  103.0 |   -7.34 | -1.42e+01 |   33.800 |   401.00 |  216.0 |  212.00 |\n",
       "| Myeloid dendritic cell      |    58.80 |  181.000 | -0.004180 |   34.40 |    6.710 |     1.44 |   87.10 |   222.00 |    78.3 |    69.5 |   41.0 |  195.00 | -1.19e-01 |  135.000 |   484.00 |  311.0 |  250.00 |\n",
       "| Plasmacytoid dendritic cell |    32.90 |  200.000 |  0.000131 |   97.70 |    9.190 |    -1.24 |   74.60 |   282.00 |    93.2 |   179.0 |  115.0 |   14.80 | -2.71e-01 |   42.700 |   238.00 |  220.0 |  255.00 |\n",
       "| B cell plasma immature      |   146.00 |  126.000 |  0.000807 |   17.40 |  444.000 |     1.35 |  142.00 |    88.00 |   119.0 |   322.0 |   47.9 |   16.70 | -2.24e-02 |   15.400 |   259.00 |   76.7 |  413.00 |\n",
       "\n"
      ],
      "text/plain": [
       "   cell_type                   0        6        7         8       10      \n",
       "1  Monocyte conventional           4.49  614.000  0.070600   86.50    2.680\n",
       "2  NK cell                     -3520.00  657.000 -0.012900   21.40    2.730\n",
       "3  T cell CD8+ memory          10200.00  238.000 -0.013700 -120.00   -8.620\n",
       "4  T cell CD4+ naive             206.00 4050.000  1.010000  557.00  152.000\n",
       "5  T cell CD8+ naive               1.47 -408.000 -0.017700  -72.90   77.500\n",
       "6  B cell naive                  -84.50 -186.000  0.000961  971.00  -20.000\n",
       "7  T cell CD4+ memory           5370.00 2780.000 -0.178000 1940.00  138.000\n",
       "8  T cell MAIT                  3130.00 -186.000  0.025900  368.00 -115.000\n",
       "9  T cell gamma delta VD2       6300.00   -0.307  0.001190  174.00   63.600\n",
       "10 Neutrophil                    289.00  730.000  0.043000  488.00  169.000\n",
       "11 T cell gamma delta non-VD2   1650.00 -834.000  0.016800   -7.32  136.000\n",
       "12 Basophil                       17.80   52.600  0.000819  161.00    0.345\n",
       "13 Monocyte non-conventional       1.95 -105.000  0.068600  -34.90   -8.540\n",
       "14 B cell memory                 295.00  313.000 -0.000601 -227.00  200.000\n",
       "15 Myeloid dendritic cell         58.80  181.000 -0.004180   34.40    6.710\n",
       "16 Plasmacytoid dendritic cell    32.90  200.000  0.000131   97.70    9.190\n",
       "17 B cell plasma immature        146.00  126.000  0.000807   17.40  444.000\n",
       "   12       13      16       17      18      20     22      23        24      \n",
       "1     20.90  -38.10   196.00   245.0   936.0  305.0  -42.80 -1.89e-01  136.000\n",
       "2  -1080.00  -18.60  -303.00   214.0 -1690.0  264.0  123.00 -1.86e+02   93.400\n",
       "3   4930.00   25.40  8320.00  3920.0 10300.0 -244.0  -25.10  5.19e+03   -0.972\n",
       "4   -283.00  186.00 -6910.00  1140.0 -1420.0 2550.0  445.00 -1.01e+03  623.000\n",
       "5    640.00   49.60  2410.00  -562.0  1370.0  134.0  -36.70  1.31e+03 -145.000\n",
       "6     -7.37  321.00  -299.00   -82.0  -125.0  -75.5   11.90 -5.15e-01  -28.800\n",
       "7   2050.00 1500.00 22400.00  2860.0  8570.0  490.0 1060.00  1.87e+03  591.000\n",
       "8    705.00  339.00  1610.00   344.0 -1890.0  287.0   30.70 -2.15e+02  146.000\n",
       "9   7850.00  -17.40  9680.00  4450.0  9140.0 -144.0   34.40  8.40e+02   31.800\n",
       "10    95.90   88.60  1200.00  1160.0  1350.0 1330.0  244.00 -4.85e-01  675.000\n",
       "11 -2400.00  -34.50 -4400.00 -2000.0   -80.7   29.4 -135.00 -3.05e+03  -83.200\n",
       "12     2.11    4.57    42.70    20.2    82.7   48.1   16.00 -2.92e-02   14.700\n",
       "13    12.70   -9.25    -2.42   -30.3  -156.0  -14.4  -11.50 -1.90e+00  -30.600\n",
       "14   -33.80   43.40   461.00    56.0   159.0  103.0   -7.34 -1.42e+01   33.800\n",
       "15     1.44   87.10   222.00    78.3    69.5   41.0  195.00 -1.19e-01  135.000\n",
       "16    -1.24   74.60   282.00    93.2   179.0  115.0   14.80 -2.71e-01   42.700\n",
       "17     1.35  142.00    88.00   119.0   322.0   47.9   16.70 -2.24e-02   15.400\n",
       "   25       26     28     \n",
       "1      7.77  148.0 1120.00\n",
       "2    200.00  321.0  546.00\n",
       "3   5100.00  -85.0  -82.70\n",
       "4    -80.80 1140.0 3180.00\n",
       "5    533.00  196.0   41.80\n",
       "6   -234.00 -165.0 -212.00\n",
       "7  15000.00 3550.0 3380.00\n",
       "8   1330.00  552.0   -7.46\n",
       "9   7390.00   52.6 -122.00\n",
       "10  1420.00  927.0 1900.00\n",
       "11 -4860.00 -363.0 -551.00\n",
       "12    82.20   39.3   37.30\n",
       "13    24.90  -41.2 -203.00\n",
       "14   401.00  216.0  212.00\n",
       "15   484.00  311.0  250.00\n",
       "16   238.00  220.0  255.00\n",
       "17   259.00   76.7  413.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abis_res <- deconvolute(df_pseudobulk_raw, \"abis\", indications = rep(\"hnsc\",times = 17),tumor = TRUE)\n",
    "abis_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0bf85245",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running consensus_tme\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Producing ConsensusTME Estimates Using The Following Parameters:\n",
      " Statistical Framework: \"ssgsea\"\n",
      " Gene Sets For Cancer Type: \"HNSC\"\n",
      " Sample Size: 17\n",
      "Estimating ssGSEA scores for 19 gene sets.\n",
      "  |======================================================================| 100%\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 18 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>B cell                      </td><td> 0.268356368</td><td>-0.0653961872</td><td>-0.16556440</td><td>0.36122602</td><td> 0.324961223</td><td> 0.153639237</td><td>0.37827197</td><td> 0.167460777</td><td> 0.053971654</td><td>0.16956220</td><td>-0.29417198</td><td>-0.116350297</td><td> 0.112039596</td><td> 0.02351006</td><td> 0.20409104</td><td>-0.0241769202</td><td>-0.029514965</td></tr>\n",
       "\t<tr><td>cytotoxicity score          </td><td> 0.564614558</td><td>-0.3120985008</td><td>-0.18580761</td><td>0.15571629</td><td> 0.214255173</td><td> 0.569614546</td><td>0.18147390</td><td> 0.496008518</td><td> 0.444010394</td><td>0.49529013</td><td>-0.39332324</td><td>-0.226515317</td><td> 0.487688048</td><td>-0.08635990</td><td> 0.39412743</td><td>-0.2219081446</td><td>-0.189574128</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell      </td><td> 0.160861670</td><td>-0.0373190328</td><td>-0.18575263</td><td>0.15744365</td><td> 0.069509721</td><td> 0.085948797</td><td>0.27567835</td><td> 0.188932140</td><td> 0.083126413</td><td>0.14563780</td><td>-0.25100662</td><td>-0.012364529</td><td> 0.065486440</td><td> 0.11847508</td><td> 0.17181457</td><td> 0.0343210446</td><td>-0.036327563</td></tr>\n",
       "\t<tr><td>Eosinophil                  </td><td> 0.222114086</td><td> 0.0006323327</td><td>-0.13713994</td><td>0.34012451</td><td> 0.175872790</td><td> 0.247121249</td><td>0.24739598</td><td> 0.235817207</td><td> 0.160053767</td><td>0.23516317</td><td>-0.36724291</td><td> 0.083641254</td><td> 0.209708267</td><td> 0.14565433</td><td> 0.22206029</td><td> 0.0502042475</td><td>-0.112711191</td></tr>\n",
       "\t<tr><td>Macrophage                  </td><td>-0.050774425</td><td>-0.0060130771</td><td>-0.13582275</td><td>0.06557505</td><td>-0.077196561</td><td>-0.055900105</td><td>0.12437467</td><td> 0.027138251</td><td>-0.115294739</td><td>0.01393915</td><td>-0.30251397</td><td>-0.062756713</td><td>-0.050858208</td><td> 0.12380949</td><td>-0.01448182</td><td>-0.0585720784</td><td>-0.081562673</td></tr>\n",
       "\t<tr><td>MAST cell                   </td><td> 0.411439072</td><td>-0.0658663466</td><td>-0.05392340</td><td>0.33941276</td><td> 0.191940327</td><td> 0.296373554</td><td>0.28261583</td><td> 0.339794688</td><td> 0.232528615</td><td>0.37240926</td><td>-0.38837250</td><td> 0.246733420</td><td> 0.356638867</td><td> 0.32210538</td><td> 0.28871110</td><td> 0.0184182202</td><td>-0.148739139</td></tr>\n",
       "\t<tr><td>NK cell                     </td><td> 0.506634330</td><td>-0.3199022318</td><td>-0.20606887</td><td>0.15675942</td><td> 0.016875365</td><td> 0.484885908</td><td>0.17573929</td><td> 0.460203939</td><td> 0.333312959</td><td>0.43328994</td><td>-0.42087289</td><td>-0.257246057</td><td> 0.462653741</td><td>-0.12898711</td><td> 0.33518286</td><td>-0.1445616351</td><td>-0.220903438</td></tr>\n",
       "\t<tr><td>Neutrophil                  </td><td>-0.013036888</td><td>-0.1010612271</td><td>-0.19313953</td><td>0.04607027</td><td>-0.043316552</td><td>-0.025728283</td><td>0.16267999</td><td>-0.005291113</td><td>-0.091170164</td><td>0.02227893</td><td>-0.29405447</td><td>-0.206413510</td><td>-0.064413421</td><td>-0.04245979</td><td>-0.04931575</td><td>-0.1422292197</td><td>-0.210379473</td></tr>\n",
       "\t<tr><td>T cell CD4+                 </td><td> 0.526443586</td><td>-0.1522301105</td><td>-0.24604268</td><td>0.38169055</td><td> 0.188479769</td><td> 0.503075644</td><td>0.39916409</td><td> 0.479568222</td><td> 0.345516382</td><td>0.49807815</td><td>-0.34406187</td><td>-0.066733428</td><td> 0.510489641</td><td>-0.03763865</td><td> 0.42370456</td><td>-0.0163151375</td><td>-0.121525007</td></tr>\n",
       "\t<tr><td>T cell CD8+                 </td><td> 0.528395669</td><td>-0.2123567208</td><td>-0.23302409</td><td>0.30342218</td><td> 0.160153376</td><td> 0.500727506</td><td>0.31257402</td><td> 0.487736357</td><td> 0.351141781</td><td>0.47512248</td><td>-0.36057176</td><td>-0.152867119</td><td> 0.500852507</td><td>-0.06675946</td><td> 0.39052762</td><td>-0.0841411142</td><td>-0.145357682</td></tr>\n",
       "\t<tr><td>T cell gamma delta          </td><td> 0.488814624</td><td>-0.3381319237</td><td>-0.24227737</td><td>0.22197422</td><td> 0.005259044</td><td> 0.457330177</td><td>0.24404143</td><td> 0.439039783</td><td> 0.294709664</td><td>0.44183736</td><td>-0.43038545</td><td>-0.235677522</td><td> 0.488947513</td><td>-0.08048205</td><td> 0.32483471</td><td>-0.1353065295</td><td>-0.253672805</td></tr>\n",
       "\t<tr><td>T cell regulatory (Tregs)   </td><td> 0.551004906</td><td>-0.2532504530</td><td>-0.31431835</td><td>0.38899966</td><td> 0.162256672</td><td> 0.556128082</td><td>0.44260785</td><td> 0.525006437</td><td> 0.363423626</td><td>0.53104213</td><td>-0.37712915</td><td>-0.138685731</td><td> 0.560687782</td><td>-0.15410401</td><td> 0.45166861</td><td> 0.0469899761</td><td>-0.131959918</td></tr>\n",
       "\t<tr><td>Macrophage M1               </td><td> 0.074942502</td><td>-0.0464994683</td><td>-0.19076911</td><td>0.08997388</td><td>-0.007920748</td><td>-0.016969888</td><td>0.21773042</td><td> 0.127434984</td><td> 0.019131636</td><td>0.08640552</td><td>-0.29676273</td><td>-0.037309108</td><td>-0.020042434</td><td> 0.13851600</td><td> 0.10326285</td><td> 0.0453002006</td><td>-0.007778208</td></tr>\n",
       "\t<tr><td>Macrophage M2               </td><td> 0.003914264</td><td> 0.0232315387</td><td>-0.18986485</td><td>0.13118810</td><td> 0.005780707</td><td>-0.118617901</td><td>0.23257020</td><td> 0.037924536</td><td>-0.003064942</td><td>0.03569125</td><td>-0.27353187</td><td>-0.001557011</td><td>-0.053373085</td><td> 0.16820293</td><td> 0.03150516</td><td> 0.0009045489</td><td>-0.057731521</td></tr>\n",
       "\t<tr><td>Endothelial cell            </td><td>-0.218292607</td><td> 0.2761946610</td><td>-0.14952628</td><td>0.39976266</td><td> 0.206805926</td><td>-0.277237619</td><td>0.03499049</td><td> 0.187580094</td><td>-0.011140609</td><td>0.07677822</td><td>-0.22001773</td><td>-0.136510827</td><td>-0.199860285</td><td>-0.10812051</td><td>-0.23225499</td><td>-0.2375886337</td><td> 0.026030258</td></tr>\n",
       "\t<tr><td>Cancer associated fibroblast</td><td> 0.178354085</td><td> 0.3484274582</td><td> 0.04982933</td><td>0.23950134</td><td> 0.217203459</td><td>-0.234678259</td><td>0.23195399</td><td> 0.342612648</td><td> 0.182933430</td><td>0.14280771</td><td> 0.09348839</td><td> 0.306227066</td><td>-0.317878398</td><td> 0.38703608</td><td> 0.36075628</td><td> 0.3233465857</td><td> 0.441930808</td></tr>\n",
       "\t<tr><td>Monocyte                    </td><td> 0.062008076</td><td>-0.0331345341</td><td>-0.17681384</td><td>0.06749153</td><td> 0.033367809</td><td>-0.002566947</td><td>0.15691646</td><td> 0.050718567</td><td>-0.075536426</td><td>0.06261727</td><td>-0.32897001</td><td>-0.107166811</td><td> 0.002533145</td><td> 0.03276466</td><td>-0.00157115</td><td>-0.1119189645</td><td>-0.153542112</td></tr>\n",
       "\t<tr><td>immune score                </td><td> 0.309555730</td><td>-0.0956703742</td><td>-0.16654581</td><td>0.23873423</td><td> 0.125146460</td><td> 0.254627465</td><td>0.28517746</td><td> 0.282399575</td><td> 0.163872190</td><td>0.27167612</td><td>-0.30662858</td><td>-0.084430230</td><td> 0.247809305</td><td> 0.03393025</td><td> 0.22582255</td><td>-0.0454233239</td><td>-0.080439812</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 18 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t B cell                       &  0.268356368 & -0.0653961872 & -0.16556440 & 0.36122602 &  0.324961223 &  0.153639237 & 0.37827197 &  0.167460777 &  0.053971654 & 0.16956220 & -0.29417198 & -0.116350297 &  0.112039596 &  0.02351006 &  0.20409104 & -0.0241769202 & -0.029514965\\\\\n",
       "\t cytotoxicity score           &  0.564614558 & -0.3120985008 & -0.18580761 & 0.15571629 &  0.214255173 &  0.569614546 & 0.18147390 &  0.496008518 &  0.444010394 & 0.49529013 & -0.39332324 & -0.226515317 &  0.487688048 & -0.08635990 &  0.39412743 & -0.2219081446 & -0.189574128\\\\\n",
       "\t Myeloid dendritic cell       &  0.160861670 & -0.0373190328 & -0.18575263 & 0.15744365 &  0.069509721 &  0.085948797 & 0.27567835 &  0.188932140 &  0.083126413 & 0.14563780 & -0.25100662 & -0.012364529 &  0.065486440 &  0.11847508 &  0.17181457 &  0.0343210446 & -0.036327563\\\\\n",
       "\t Eosinophil                   &  0.222114086 &  0.0006323327 & -0.13713994 & 0.34012451 &  0.175872790 &  0.247121249 & 0.24739598 &  0.235817207 &  0.160053767 & 0.23516317 & -0.36724291 &  0.083641254 &  0.209708267 &  0.14565433 &  0.22206029 &  0.0502042475 & -0.112711191\\\\\n",
       "\t Macrophage                   & -0.050774425 & -0.0060130771 & -0.13582275 & 0.06557505 & -0.077196561 & -0.055900105 & 0.12437467 &  0.027138251 & -0.115294739 & 0.01393915 & -0.30251397 & -0.062756713 & -0.050858208 &  0.12380949 & -0.01448182 & -0.0585720784 & -0.081562673\\\\\n",
       "\t MAST cell                    &  0.411439072 & -0.0658663466 & -0.05392340 & 0.33941276 &  0.191940327 &  0.296373554 & 0.28261583 &  0.339794688 &  0.232528615 & 0.37240926 & -0.38837250 &  0.246733420 &  0.356638867 &  0.32210538 &  0.28871110 &  0.0184182202 & -0.148739139\\\\\n",
       "\t NK cell                      &  0.506634330 & -0.3199022318 & -0.20606887 & 0.15675942 &  0.016875365 &  0.484885908 & 0.17573929 &  0.460203939 &  0.333312959 & 0.43328994 & -0.42087289 & -0.257246057 &  0.462653741 & -0.12898711 &  0.33518286 & -0.1445616351 & -0.220903438\\\\\n",
       "\t Neutrophil                   & -0.013036888 & -0.1010612271 & -0.19313953 & 0.04607027 & -0.043316552 & -0.025728283 & 0.16267999 & -0.005291113 & -0.091170164 & 0.02227893 & -0.29405447 & -0.206413510 & -0.064413421 & -0.04245979 & -0.04931575 & -0.1422292197 & -0.210379473\\\\\n",
       "\t T cell CD4+                  &  0.526443586 & -0.1522301105 & -0.24604268 & 0.38169055 &  0.188479769 &  0.503075644 & 0.39916409 &  0.479568222 &  0.345516382 & 0.49807815 & -0.34406187 & -0.066733428 &  0.510489641 & -0.03763865 &  0.42370456 & -0.0163151375 & -0.121525007\\\\\n",
       "\t T cell CD8+                  &  0.528395669 & -0.2123567208 & -0.23302409 & 0.30342218 &  0.160153376 &  0.500727506 & 0.31257402 &  0.487736357 &  0.351141781 & 0.47512248 & -0.36057176 & -0.152867119 &  0.500852507 & -0.06675946 &  0.39052762 & -0.0841411142 & -0.145357682\\\\\n",
       "\t T cell gamma delta           &  0.488814624 & -0.3381319237 & -0.24227737 & 0.22197422 &  0.005259044 &  0.457330177 & 0.24404143 &  0.439039783 &  0.294709664 & 0.44183736 & -0.43038545 & -0.235677522 &  0.488947513 & -0.08048205 &  0.32483471 & -0.1353065295 & -0.253672805\\\\\n",
       "\t T cell regulatory (Tregs)    &  0.551004906 & -0.2532504530 & -0.31431835 & 0.38899966 &  0.162256672 &  0.556128082 & 0.44260785 &  0.525006437 &  0.363423626 & 0.53104213 & -0.37712915 & -0.138685731 &  0.560687782 & -0.15410401 &  0.45166861 &  0.0469899761 & -0.131959918\\\\\n",
       "\t Macrophage M1                &  0.074942502 & -0.0464994683 & -0.19076911 & 0.08997388 & -0.007920748 & -0.016969888 & 0.21773042 &  0.127434984 &  0.019131636 & 0.08640552 & -0.29676273 & -0.037309108 & -0.020042434 &  0.13851600 &  0.10326285 &  0.0453002006 & -0.007778208\\\\\n",
       "\t Macrophage M2                &  0.003914264 &  0.0232315387 & -0.18986485 & 0.13118810 &  0.005780707 & -0.118617901 & 0.23257020 &  0.037924536 & -0.003064942 & 0.03569125 & -0.27353187 & -0.001557011 & -0.053373085 &  0.16820293 &  0.03150516 &  0.0009045489 & -0.057731521\\\\\n",
       "\t Endothelial cell             & -0.218292607 &  0.2761946610 & -0.14952628 & 0.39976266 &  0.206805926 & -0.277237619 & 0.03499049 &  0.187580094 & -0.011140609 & 0.07677822 & -0.22001773 & -0.136510827 & -0.199860285 & -0.10812051 & -0.23225499 & -0.2375886337 &  0.026030258\\\\\n",
       "\t Cancer associated fibroblast &  0.178354085 &  0.3484274582 &  0.04982933 & 0.23950134 &  0.217203459 & -0.234678259 & 0.23195399 &  0.342612648 &  0.182933430 & 0.14280771 &  0.09348839 &  0.306227066 & -0.317878398 &  0.38703608 &  0.36075628 &  0.3233465857 &  0.441930808\\\\\n",
       "\t Monocyte                     &  0.062008076 & -0.0331345341 & -0.17681384 & 0.06749153 &  0.033367809 & -0.002566947 & 0.15691646 &  0.050718567 & -0.075536426 & 0.06261727 & -0.32897001 & -0.107166811 &  0.002533145 &  0.03276466 & -0.00157115 & -0.1119189645 & -0.153542112\\\\\n",
       "\t immune score                 &  0.309555730 & -0.0956703742 & -0.16654581 & 0.23873423 &  0.125146460 &  0.254627465 & 0.28517746 &  0.282399575 &  0.163872190 & 0.27167612 & -0.30662858 & -0.084430230 &  0.247809305 &  0.03393025 &  0.22582255 & -0.0454233239 & -0.080439812\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 18 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| B cell                       |  0.268356368 | -0.0653961872 | -0.16556440 | 0.36122602 |  0.324961223 |  0.153639237 | 0.37827197 |  0.167460777 |  0.053971654 | 0.16956220 | -0.29417198 | -0.116350297 |  0.112039596 |  0.02351006 |  0.20409104 | -0.0241769202 | -0.029514965 |\n",
       "| cytotoxicity score           |  0.564614558 | -0.3120985008 | -0.18580761 | 0.15571629 |  0.214255173 |  0.569614546 | 0.18147390 |  0.496008518 |  0.444010394 | 0.49529013 | -0.39332324 | -0.226515317 |  0.487688048 | -0.08635990 |  0.39412743 | -0.2219081446 | -0.189574128 |\n",
       "| Myeloid dendritic cell       |  0.160861670 | -0.0373190328 | -0.18575263 | 0.15744365 |  0.069509721 |  0.085948797 | 0.27567835 |  0.188932140 |  0.083126413 | 0.14563780 | -0.25100662 | -0.012364529 |  0.065486440 |  0.11847508 |  0.17181457 |  0.0343210446 | -0.036327563 |\n",
       "| Eosinophil                   |  0.222114086 |  0.0006323327 | -0.13713994 | 0.34012451 |  0.175872790 |  0.247121249 | 0.24739598 |  0.235817207 |  0.160053767 | 0.23516317 | -0.36724291 |  0.083641254 |  0.209708267 |  0.14565433 |  0.22206029 |  0.0502042475 | -0.112711191 |\n",
       "| Macrophage                   | -0.050774425 | -0.0060130771 | -0.13582275 | 0.06557505 | -0.077196561 | -0.055900105 | 0.12437467 |  0.027138251 | -0.115294739 | 0.01393915 | -0.30251397 | -0.062756713 | -0.050858208 |  0.12380949 | -0.01448182 | -0.0585720784 | -0.081562673 |\n",
       "| MAST cell                    |  0.411439072 | -0.0658663466 | -0.05392340 | 0.33941276 |  0.191940327 |  0.296373554 | 0.28261583 |  0.339794688 |  0.232528615 | 0.37240926 | -0.38837250 |  0.246733420 |  0.356638867 |  0.32210538 |  0.28871110 |  0.0184182202 | -0.148739139 |\n",
       "| NK cell                      |  0.506634330 | -0.3199022318 | -0.20606887 | 0.15675942 |  0.016875365 |  0.484885908 | 0.17573929 |  0.460203939 |  0.333312959 | 0.43328994 | -0.42087289 | -0.257246057 |  0.462653741 | -0.12898711 |  0.33518286 | -0.1445616351 | -0.220903438 |\n",
       "| Neutrophil                   | -0.013036888 | -0.1010612271 | -0.19313953 | 0.04607027 | -0.043316552 | -0.025728283 | 0.16267999 | -0.005291113 | -0.091170164 | 0.02227893 | -0.29405447 | -0.206413510 | -0.064413421 | -0.04245979 | -0.04931575 | -0.1422292197 | -0.210379473 |\n",
       "| T cell CD4+                  |  0.526443586 | -0.1522301105 | -0.24604268 | 0.38169055 |  0.188479769 |  0.503075644 | 0.39916409 |  0.479568222 |  0.345516382 | 0.49807815 | -0.34406187 | -0.066733428 |  0.510489641 | -0.03763865 |  0.42370456 | -0.0163151375 | -0.121525007 |\n",
       "| T cell CD8+                  |  0.528395669 | -0.2123567208 | -0.23302409 | 0.30342218 |  0.160153376 |  0.500727506 | 0.31257402 |  0.487736357 |  0.351141781 | 0.47512248 | -0.36057176 | -0.152867119 |  0.500852507 | -0.06675946 |  0.39052762 | -0.0841411142 | -0.145357682 |\n",
       "| T cell gamma delta           |  0.488814624 | -0.3381319237 | -0.24227737 | 0.22197422 |  0.005259044 |  0.457330177 | 0.24404143 |  0.439039783 |  0.294709664 | 0.44183736 | -0.43038545 | -0.235677522 |  0.488947513 | -0.08048205 |  0.32483471 | -0.1353065295 | -0.253672805 |\n",
       "| T cell regulatory (Tregs)    |  0.551004906 | -0.2532504530 | -0.31431835 | 0.38899966 |  0.162256672 |  0.556128082 | 0.44260785 |  0.525006437 |  0.363423626 | 0.53104213 | -0.37712915 | -0.138685731 |  0.560687782 | -0.15410401 |  0.45166861 |  0.0469899761 | -0.131959918 |\n",
       "| Macrophage M1                |  0.074942502 | -0.0464994683 | -0.19076911 | 0.08997388 | -0.007920748 | -0.016969888 | 0.21773042 |  0.127434984 |  0.019131636 | 0.08640552 | -0.29676273 | -0.037309108 | -0.020042434 |  0.13851600 |  0.10326285 |  0.0453002006 | -0.007778208 |\n",
       "| Macrophage M2                |  0.003914264 |  0.0232315387 | -0.18986485 | 0.13118810 |  0.005780707 | -0.118617901 | 0.23257020 |  0.037924536 | -0.003064942 | 0.03569125 | -0.27353187 | -0.001557011 | -0.053373085 |  0.16820293 |  0.03150516 |  0.0009045489 | -0.057731521 |\n",
       "| Endothelial cell             | -0.218292607 |  0.2761946610 | -0.14952628 | 0.39976266 |  0.206805926 | -0.277237619 | 0.03499049 |  0.187580094 | -0.011140609 | 0.07677822 | -0.22001773 | -0.136510827 | -0.199860285 | -0.10812051 | -0.23225499 | -0.2375886337 |  0.026030258 |\n",
       "| Cancer associated fibroblast |  0.178354085 |  0.3484274582 |  0.04982933 | 0.23950134 |  0.217203459 | -0.234678259 | 0.23195399 |  0.342612648 |  0.182933430 | 0.14280771 |  0.09348839 |  0.306227066 | -0.317878398 |  0.38703608 |  0.36075628 |  0.3233465857 |  0.441930808 |\n",
       "| Monocyte                     |  0.062008076 | -0.0331345341 | -0.17681384 | 0.06749153 |  0.033367809 | -0.002566947 | 0.15691646 |  0.050718567 | -0.075536426 | 0.06261727 | -0.32897001 | -0.107166811 |  0.002533145 |  0.03276466 | -0.00157115 | -0.1119189645 | -0.153542112 |\n",
       "| immune score                 |  0.309555730 | -0.0956703742 | -0.16654581 | 0.23873423 |  0.125146460 |  0.254627465 | 0.28517746 |  0.282399575 |  0.163872190 | 0.27167612 | -0.30662858 | -0.084430230 |  0.247809305 |  0.03393025 |  0.22582255 | -0.0454233239 | -0.080439812 |\n",
       "\n"
      ],
      "text/plain": [
       "   cell_type                    0            6             7          \n",
       "1  B cell                        0.268356368 -0.0653961872 -0.16556440\n",
       "2  cytotoxicity score            0.564614558 -0.3120985008 -0.18580761\n",
       "3  Myeloid dendritic cell        0.160861670 -0.0373190328 -0.18575263\n",
       "4  Eosinophil                    0.222114086  0.0006323327 -0.13713994\n",
       "5  Macrophage                   -0.050774425 -0.0060130771 -0.13582275\n",
       "6  MAST cell                     0.411439072 -0.0658663466 -0.05392340\n",
       "7  NK cell                       0.506634330 -0.3199022318 -0.20606887\n",
       "8  Neutrophil                   -0.013036888 -0.1010612271 -0.19313953\n",
       "9  T cell CD4+                   0.526443586 -0.1522301105 -0.24604268\n",
       "10 T cell CD8+                   0.528395669 -0.2123567208 -0.23302409\n",
       "11 T cell gamma delta            0.488814624 -0.3381319237 -0.24227737\n",
       "12 T cell regulatory (Tregs)     0.551004906 -0.2532504530 -0.31431835\n",
       "13 Macrophage M1                 0.074942502 -0.0464994683 -0.19076911\n",
       "14 Macrophage M2                 0.003914264  0.0232315387 -0.18986485\n",
       "15 Endothelial cell             -0.218292607  0.2761946610 -0.14952628\n",
       "16 Cancer associated fibroblast  0.178354085  0.3484274582  0.04982933\n",
       "17 Monocyte                      0.062008076 -0.0331345341 -0.17681384\n",
       "18 immune score                  0.309555730 -0.0956703742 -0.16654581\n",
       "   8          10           12           13         16           17          \n",
       "1  0.36122602  0.324961223  0.153639237 0.37827197  0.167460777  0.053971654\n",
       "2  0.15571629  0.214255173  0.569614546 0.18147390  0.496008518  0.444010394\n",
       "3  0.15744365  0.069509721  0.085948797 0.27567835  0.188932140  0.083126413\n",
       "4  0.34012451  0.175872790  0.247121249 0.24739598  0.235817207  0.160053767\n",
       "5  0.06557505 -0.077196561 -0.055900105 0.12437467  0.027138251 -0.115294739\n",
       "6  0.33941276  0.191940327  0.296373554 0.28261583  0.339794688  0.232528615\n",
       "7  0.15675942  0.016875365  0.484885908 0.17573929  0.460203939  0.333312959\n",
       "8  0.04607027 -0.043316552 -0.025728283 0.16267999 -0.005291113 -0.091170164\n",
       "9  0.38169055  0.188479769  0.503075644 0.39916409  0.479568222  0.345516382\n",
       "10 0.30342218  0.160153376  0.500727506 0.31257402  0.487736357  0.351141781\n",
       "11 0.22197422  0.005259044  0.457330177 0.24404143  0.439039783  0.294709664\n",
       "12 0.38899966  0.162256672  0.556128082 0.44260785  0.525006437  0.363423626\n",
       "13 0.08997388 -0.007920748 -0.016969888 0.21773042  0.127434984  0.019131636\n",
       "14 0.13118810  0.005780707 -0.118617901 0.23257020  0.037924536 -0.003064942\n",
       "15 0.39976266  0.206805926 -0.277237619 0.03499049  0.187580094 -0.011140609\n",
       "16 0.23950134  0.217203459 -0.234678259 0.23195399  0.342612648  0.182933430\n",
       "17 0.06749153  0.033367809 -0.002566947 0.15691646  0.050718567 -0.075536426\n",
       "18 0.23873423  0.125146460  0.254627465 0.28517746  0.282399575  0.163872190\n",
       "   18         20          22           23           24          25         \n",
       "1  0.16956220 -0.29417198 -0.116350297  0.112039596  0.02351006  0.20409104\n",
       "2  0.49529013 -0.39332324 -0.226515317  0.487688048 -0.08635990  0.39412743\n",
       "3  0.14563780 -0.25100662 -0.012364529  0.065486440  0.11847508  0.17181457\n",
       "4  0.23516317 -0.36724291  0.083641254  0.209708267  0.14565433  0.22206029\n",
       "5  0.01393915 -0.30251397 -0.062756713 -0.050858208  0.12380949 -0.01448182\n",
       "6  0.37240926 -0.38837250  0.246733420  0.356638867  0.32210538  0.28871110\n",
       "7  0.43328994 -0.42087289 -0.257246057  0.462653741 -0.12898711  0.33518286\n",
       "8  0.02227893 -0.29405447 -0.206413510 -0.064413421 -0.04245979 -0.04931575\n",
       "9  0.49807815 -0.34406187 -0.066733428  0.510489641 -0.03763865  0.42370456\n",
       "10 0.47512248 -0.36057176 -0.152867119  0.500852507 -0.06675946  0.39052762\n",
       "11 0.44183736 -0.43038545 -0.235677522  0.488947513 -0.08048205  0.32483471\n",
       "12 0.53104213 -0.37712915 -0.138685731  0.560687782 -0.15410401  0.45166861\n",
       "13 0.08640552 -0.29676273 -0.037309108 -0.020042434  0.13851600  0.10326285\n",
       "14 0.03569125 -0.27353187 -0.001557011 -0.053373085  0.16820293  0.03150516\n",
       "15 0.07677822 -0.22001773 -0.136510827 -0.199860285 -0.10812051 -0.23225499\n",
       "16 0.14280771  0.09348839  0.306227066 -0.317878398  0.38703608  0.36075628\n",
       "17 0.06261727 -0.32897001 -0.107166811  0.002533145  0.03276466 -0.00157115\n",
       "18 0.27167612 -0.30662858 -0.084430230  0.247809305  0.03393025  0.22582255\n",
       "   26            28          \n",
       "1  -0.0241769202 -0.029514965\n",
       "2  -0.2219081446 -0.189574128\n",
       "3   0.0343210446 -0.036327563\n",
       "4   0.0502042475 -0.112711191\n",
       "5  -0.0585720784 -0.081562673\n",
       "6   0.0184182202 -0.148739139\n",
       "7  -0.1445616351 -0.220903438\n",
       "8  -0.1422292197 -0.210379473\n",
       "9  -0.0163151375 -0.121525007\n",
       "10 -0.0841411142 -0.145357682\n",
       "11 -0.1353065295 -0.253672805\n",
       "12  0.0469899761 -0.131959918\n",
       "13  0.0453002006 -0.007778208\n",
       "14  0.0009045489 -0.057731521\n",
       "15 -0.2375886337  0.026030258\n",
       "16  0.3233465857  0.441930808\n",
       "17 -0.1119189645 -0.153542112\n",
       "18 -0.0454233239 -0.080439812"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "consensus_tme_res <- deconvolute(df_pseudobulk_raw, \"consensus_tme\", indications = rep(\"hnsc\",times = 17),tumor = TRUE)\n",
    "consensus_tme_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4b061fe8",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      ">>> Running estimate\n",
      "\n"
     ]
    },
    {
     "ename": "ERROR",
     "evalue": "\u001b[1m\u001b[33mError\u001b[39m in \u001b[1m\u001b[1m`inner_join()`:\u001b[22m\n\u001b[1m\u001b[22m\u001b[33m!\u001b[39m Join columns must be present in data.\n\u001b[31m✖\u001b[39m Problem with `method_cell_type`.\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1m\u001b[33mError\u001b[39m in \u001b[1m\u001b[1m`inner_join()`:\u001b[22m\n\u001b[1m\u001b[22m\u001b[33m!\u001b[39m Join columns must be present in data.\n\u001b[31m✖\u001b[39m Problem with `method_cell_type`.\nTraceback:\n",
      "1. deconvolute(df_pseudobulk_raw, \"estimate\")",
      "2. res %>% as_tibble(rownames = \"method_cell_type\") %>% annotate_cell_type(method = method)",
      "3. annotate_cell_type(., method = method)",
      "4. cell_type_map %>% filter(method_dataset == !!method) %>% inner_join(result_table, \n .     by = \"method_cell_type\") %>% select(-method_cell_type, -method_dataset)",
      "5. select(., -method_cell_type, -method_dataset)",
      "6. inner_join(., result_table, by = \"method_cell_type\")",
      "7. inner_join.data.frame(., result_table, by = \"method_cell_type\")",
      "8. join_mutate(x, y, by = by, type = \"inner\", suffix = suffix, na_matches = na_matches, \n .     keep = keep)",
      "9. join_cols(tbl_vars(x), tbl_vars(y), by = by, suffix = suffix, \n .     keep = keep, error_call = error_call)",
      "10. standardise_join_by(by, x_names = x_names, y_names = y_names, \n  .     error_call = error_call)",
      "11. check_join_vars(by$y, y_names, error_call = error_call)",
      "12. abort(bullets, call = error_call)",
      "13. signal_abort(cnd, .file)"
     ]
    }
   ],
   "source": [
    "estimate_res <- deconvolute(df_pseudobulk_raw, \"estimate\")\n",
    "estimate_res"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38089013",
   "metadata": {},
   "source": [
    "## Visualizaion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a118ac45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 11 × 18</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>cell_type</th><th scope=col>0</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>10</th><th scope=col>12</th><th scope=col>13</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>20</th><th scope=col>22</th><th scope=col>23</th><th scope=col>24</th><th scope=col>25</th><th scope=col>26</th><th scope=col>28</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>B cell                      </td><td>0.0000000</td><td>0.02885718</td><td>0.0609813</td><td>0.280878998</td><td>0.304490170</td><td>0.0000000</td><td>0.20967032</td><td>0.00000000</td><td>0.002279084</td><td>4.982050e-03</td><td>0.020140683</td><td>0.01901975</td><td>0</td><td>0.02575455</td><td>0.0000000</td><td>0.02807870</td><td>0.02802637</td></tr>\n",
       "\t<tr><td>Macrophage M1               </td><td>0.0000000</td><td>0.10739717</td><td>0.1347553</td><td>0.082386303</td><td>0.244535448</td><td>0.0000000</td><td>0.13522809</td><td>0.08905668</td><td>0.127672293</td><td>1.615994e-01</td><td>0.037222475</td><td>0.12116709</td><td>0</td><td>0.26302431</td><td>0.1926244</td><td>0.04947770</td><td>0.12832323</td></tr>\n",
       "\t<tr><td>Macrophage M2               </td><td>0.0000000</td><td>0.07270904</td><td>0.0000000</td><td>0.013784027</td><td>0.000000000</td><td>0.0000000</td><td>0.03992579</td><td>0.00000000</td><td>0.004778278</td><td>0.000000e+00</td><td>0.037070420</td><td>0.05941409</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.01061893</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>Monocyte                    </td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.000000000</td><td>0.000000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td><td>0.000000000</td><td>0.000000e+00</td><td>0.000000000</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>Neutrophil                  </td><td>0.0000000</td><td>0.03507780</td><td>0.0496465</td><td>0.008172143</td><td>0.000000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td><td>0.023634506</td><td>0.000000e+00</td><td>0.039186290</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.02031431</td><td>0.02272588</td></tr>\n",
       "\t<tr><td>NK cell                     </td><td>0.0000000</td><td>0.03018530</td><td>0.0000000</td><td>0.015997708</td><td>0.010444885</td><td>0.0000000</td><td>0.01772080</td><td>0.01621501</td><td>0.008937019</td><td>2.209925e-02</td><td>0.010488583</td><td>0.02075082</td><td>0</td><td>0.02191217</td><td>0.0000000</td><td>0.01145033</td><td>0.04212052</td></tr>\n",
       "\t<tr><td>T cell CD4+ (non-regulatory)</td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.420966640</td><td>0.000000000</td><td>0.0000000</td><td>0.01785013</td><td>0.33119627</td><td>0.000000000</td><td>3.751061e-02</td><td>0.020383089</td><td>0.04319775</td><td>0</td><td>0.00000000</td><td>0.4595076</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>T cell CD8+                 </td><td>0.3367138</td><td>0.00000000</td><td>0.0000000</td><td>0.026211595</td><td>0.005623472</td><td>0.2025383</td><td>0.03208614</td><td>0.25060998</td><td>0.109319708</td><td>3.349545e-01</td><td>0.000000000</td><td>0.00000000</td><td>1</td><td>0.00000000</td><td>0.1377925</td><td>0.02574191</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>T cell regulatory (Tregs)   </td><td>0.6632862</td><td>0.02043924</td><td>0.0000000</td><td>0.084525858</td><td>0.287483975</td><td>0.7974617</td><td>0.36701572</td><td>0.31292205</td><td>0.225032284</td><td>4.388542e-01</td><td>0.003103834</td><td>0.01301938</td><td>0</td><td>0.02741486</td><td>0.1091409</td><td>0.02772174</td><td>0.04084525</td></tr>\n",
       "\t<tr><td>Myeloid dendritic cell      </td><td>0.0000000</td><td>0.00000000</td><td>0.0000000</td><td>0.000000000</td><td>0.000000000</td><td>0.0000000</td><td>0.05457840</td><td>0.00000000</td><td>0.000000000</td><td>0.000000e+00</td><td>0.000000000</td><td>0.00000000</td><td>0</td><td>0.00000000</td><td>0.0000000</td><td>0.00000000</td><td>0.00000000</td></tr>\n",
       "\t<tr><td>uncharacterized cell        </td><td>0.0000000</td><td>0.70533427</td><td>0.7546169</td><td>0.067076728</td><td>0.147422050</td><td>0.0000000</td><td>0.12592461</td><td>0.00000000</td><td>0.498346827</td><td>1.110223e-16</td><td>0.832404627</td><td>0.72343112</td><td>0</td><td>0.66189411</td><td>0.1009345</td><td>0.82659638</td><td>0.73795874</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 11 × 18\n",
       "\\begin{tabular}{llllllllllllllllll}\n",
       " cell\\_type & 0 & 6 & 7 & 8 & 10 & 12 & 13 & 16 & 17 & 18 & 20 & 22 & 23 & 24 & 25 & 26 & 28\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t B cell                       & 0.0000000 & 0.02885718 & 0.0609813 & 0.280878998 & 0.304490170 & 0.0000000 & 0.20967032 & 0.00000000 & 0.002279084 & 4.982050e-03 & 0.020140683 & 0.01901975 & 0 & 0.02575455 & 0.0000000 & 0.02807870 & 0.02802637\\\\\n",
       "\t Macrophage M1                & 0.0000000 & 0.10739717 & 0.1347553 & 0.082386303 & 0.244535448 & 0.0000000 & 0.13522809 & 0.08905668 & 0.127672293 & 1.615994e-01 & 0.037222475 & 0.12116709 & 0 & 0.26302431 & 0.1926244 & 0.04947770 & 0.12832323\\\\\n",
       "\t Macrophage M2                & 0.0000000 & 0.07270904 & 0.0000000 & 0.013784027 & 0.000000000 & 0.0000000 & 0.03992579 & 0.00000000 & 0.004778278 & 0.000000e+00 & 0.037070420 & 0.05941409 & 0 & 0.00000000 & 0.0000000 & 0.01061893 & 0.00000000\\\\\n",
       "\t Monocyte                     & 0.0000000 & 0.00000000 & 0.0000000 & 0.000000000 & 0.000000000 & 0.0000000 & 0.00000000 & 0.00000000 & 0.000000000 & 0.000000e+00 & 0.000000000 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.00000000 & 0.00000000\\\\\n",
       "\t Neutrophil                   & 0.0000000 & 0.03507780 & 0.0496465 & 0.008172143 & 0.000000000 & 0.0000000 & 0.00000000 & 0.00000000 & 0.023634506 & 0.000000e+00 & 0.039186290 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.02031431 & 0.02272588\\\\\n",
       "\t NK cell                      & 0.0000000 & 0.03018530 & 0.0000000 & 0.015997708 & 0.010444885 & 0.0000000 & 0.01772080 & 0.01621501 & 0.008937019 & 2.209925e-02 & 0.010488583 & 0.02075082 & 0 & 0.02191217 & 0.0000000 & 0.01145033 & 0.04212052\\\\\n",
       "\t T cell CD4+ (non-regulatory) & 0.0000000 & 0.00000000 & 0.0000000 & 0.420966640 & 0.000000000 & 0.0000000 & 0.01785013 & 0.33119627 & 0.000000000 & 3.751061e-02 & 0.020383089 & 0.04319775 & 0 & 0.00000000 & 0.4595076 & 0.00000000 & 0.00000000\\\\\n",
       "\t T cell CD8+                  & 0.3367138 & 0.00000000 & 0.0000000 & 0.026211595 & 0.005623472 & 0.2025383 & 0.03208614 & 0.25060998 & 0.109319708 & 3.349545e-01 & 0.000000000 & 0.00000000 & 1 & 0.00000000 & 0.1377925 & 0.02574191 & 0.00000000\\\\\n",
       "\t T cell regulatory (Tregs)    & 0.6632862 & 0.02043924 & 0.0000000 & 0.084525858 & 0.287483975 & 0.7974617 & 0.36701572 & 0.31292205 & 0.225032284 & 4.388542e-01 & 0.003103834 & 0.01301938 & 0 & 0.02741486 & 0.1091409 & 0.02772174 & 0.04084525\\\\\n",
       "\t Myeloid dendritic cell       & 0.0000000 & 0.00000000 & 0.0000000 & 0.000000000 & 0.000000000 & 0.0000000 & 0.05457840 & 0.00000000 & 0.000000000 & 0.000000e+00 & 0.000000000 & 0.00000000 & 0 & 0.00000000 & 0.0000000 & 0.00000000 & 0.00000000\\\\\n",
       "\t uncharacterized cell         & 0.0000000 & 0.70533427 & 0.7546169 & 0.067076728 & 0.147422050 & 0.0000000 & 0.12592461 & 0.00000000 & 0.498346827 & 1.110223e-16 & 0.832404627 & 0.72343112 & 0 & 0.66189411 & 0.1009345 & 0.82659638 & 0.73795874\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 11 × 18\n",
       "\n",
       "| cell_type &lt;chr&gt; | 0 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | 8 &lt;dbl&gt; | 10 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 20 &lt;dbl&gt; | 22 &lt;dbl&gt; | 23 &lt;dbl&gt; | 24 &lt;dbl&gt; | 25 &lt;dbl&gt; | 26 &lt;dbl&gt; | 28 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| B cell                       | 0.0000000 | 0.02885718 | 0.0609813 | 0.280878998 | 0.304490170 | 0.0000000 | 0.20967032 | 0.00000000 | 0.002279084 | 4.982050e-03 | 0.020140683 | 0.01901975 | 0 | 0.02575455 | 0.0000000 | 0.02807870 | 0.02802637 |\n",
       "| Macrophage M1                | 0.0000000 | 0.10739717 | 0.1347553 | 0.082386303 | 0.244535448 | 0.0000000 | 0.13522809 | 0.08905668 | 0.127672293 | 1.615994e-01 | 0.037222475 | 0.12116709 | 0 | 0.26302431 | 0.1926244 | 0.04947770 | 0.12832323 |\n",
       "| Macrophage M2                | 0.0000000 | 0.07270904 | 0.0000000 | 0.013784027 | 0.000000000 | 0.0000000 | 0.03992579 | 0.00000000 | 0.004778278 | 0.000000e+00 | 0.037070420 | 0.05941409 | 0 | 0.00000000 | 0.0000000 | 0.01061893 | 0.00000000 |\n",
       "| Monocyte                     | 0.0000000 | 0.00000000 | 0.0000000 | 0.000000000 | 0.000000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000000000 | 0.000000e+00 | 0.000000000 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 |\n",
       "| Neutrophil                   | 0.0000000 | 0.03507780 | 0.0496465 | 0.008172143 | 0.000000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.023634506 | 0.000000e+00 | 0.039186290 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.02031431 | 0.02272588 |\n",
       "| NK cell                      | 0.0000000 | 0.03018530 | 0.0000000 | 0.015997708 | 0.010444885 | 0.0000000 | 0.01772080 | 0.01621501 | 0.008937019 | 2.209925e-02 | 0.010488583 | 0.02075082 | 0 | 0.02191217 | 0.0000000 | 0.01145033 | 0.04212052 |\n",
       "| T cell CD4+ (non-regulatory) | 0.0000000 | 0.00000000 | 0.0000000 | 0.420966640 | 0.000000000 | 0.0000000 | 0.01785013 | 0.33119627 | 0.000000000 | 3.751061e-02 | 0.020383089 | 0.04319775 | 0 | 0.00000000 | 0.4595076 | 0.00000000 | 0.00000000 |\n",
       "| T cell CD8+                  | 0.3367138 | 0.00000000 | 0.0000000 | 0.026211595 | 0.005623472 | 0.2025383 | 0.03208614 | 0.25060998 | 0.109319708 | 3.349545e-01 | 0.000000000 | 0.00000000 | 1 | 0.00000000 | 0.1377925 | 0.02574191 | 0.00000000 |\n",
       "| T cell regulatory (Tregs)    | 0.6632862 | 0.02043924 | 0.0000000 | 0.084525858 | 0.287483975 | 0.7974617 | 0.36701572 | 0.31292205 | 0.225032284 | 4.388542e-01 | 0.003103834 | 0.01301938 | 0 | 0.02741486 | 0.1091409 | 0.02772174 | 0.04084525 |\n",
       "| Myeloid dendritic cell       | 0.0000000 | 0.00000000 | 0.0000000 | 0.000000000 | 0.000000000 | 0.0000000 | 0.05457840 | 0.00000000 | 0.000000000 | 0.000000e+00 | 0.000000000 | 0.00000000 | 0 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 |\n",
       "| uncharacterized cell         | 0.0000000 | 0.70533427 | 0.7546169 | 0.067076728 | 0.147422050 | 0.0000000 | 0.12592461 | 0.00000000 | 0.498346827 | 1.110223e-16 | 0.832404627 | 0.72343112 | 0 | 0.66189411 | 0.1009345 | 0.82659638 | 0.73795874 |\n",
       "\n"
      ],
      "text/plain": [
       "   cell_type                    0         6          7         8          \n",
       "1  B cell                       0.0000000 0.02885718 0.0609813 0.280878998\n",
       "2  Macrophage M1                0.0000000 0.10739717 0.1347553 0.082386303\n",
       "3  Macrophage M2                0.0000000 0.07270904 0.0000000 0.013784027\n",
       "4  Monocyte                     0.0000000 0.00000000 0.0000000 0.000000000\n",
       "5  Neutrophil                   0.0000000 0.03507780 0.0496465 0.008172143\n",
       "6  NK cell                      0.0000000 0.03018530 0.0000000 0.015997708\n",
       "7  T cell CD4+ (non-regulatory) 0.0000000 0.00000000 0.0000000 0.420966640\n",
       "8  T cell CD8+                  0.3367138 0.00000000 0.0000000 0.026211595\n",
       "9  T cell regulatory (Tregs)    0.6632862 0.02043924 0.0000000 0.084525858\n",
       "10 Myeloid dendritic cell       0.0000000 0.00000000 0.0000000 0.000000000\n",
       "11 uncharacterized cell         0.0000000 0.70533427 0.7546169 0.067076728\n",
       "   10          12        13         16         17          18          \n",
       "1  0.304490170 0.0000000 0.20967032 0.00000000 0.002279084 4.982050e-03\n",
       "2  0.244535448 0.0000000 0.13522809 0.08905668 0.127672293 1.615994e-01\n",
       "3  0.000000000 0.0000000 0.03992579 0.00000000 0.004778278 0.000000e+00\n",
       "4  0.000000000 0.0000000 0.00000000 0.00000000 0.000000000 0.000000e+00\n",
       "5  0.000000000 0.0000000 0.00000000 0.00000000 0.023634506 0.000000e+00\n",
       "6  0.010444885 0.0000000 0.01772080 0.01621501 0.008937019 2.209925e-02\n",
       "7  0.000000000 0.0000000 0.01785013 0.33119627 0.000000000 3.751061e-02\n",
       "8  0.005623472 0.2025383 0.03208614 0.25060998 0.109319708 3.349545e-01\n",
       "9  0.287483975 0.7974617 0.36701572 0.31292205 0.225032284 4.388542e-01\n",
       "10 0.000000000 0.0000000 0.05457840 0.00000000 0.000000000 0.000000e+00\n",
       "11 0.147422050 0.0000000 0.12592461 0.00000000 0.498346827 1.110223e-16\n",
       "   20          22         23 24         25        26         28        \n",
       "1  0.020140683 0.01901975 0  0.02575455 0.0000000 0.02807870 0.02802637\n",
       "2  0.037222475 0.12116709 0  0.26302431 0.1926244 0.04947770 0.12832323\n",
       "3  0.037070420 0.05941409 0  0.00000000 0.0000000 0.01061893 0.00000000\n",
       "4  0.000000000 0.00000000 0  0.00000000 0.0000000 0.00000000 0.00000000\n",
       "5  0.039186290 0.00000000 0  0.00000000 0.0000000 0.02031431 0.02272588\n",
       "6  0.010488583 0.02075082 0  0.02191217 0.0000000 0.01145033 0.04212052\n",
       "7  0.020383089 0.04319775 0  0.00000000 0.4595076 0.00000000 0.00000000\n",
       "8  0.000000000 0.00000000 1  0.00000000 0.1377925 0.02574191 0.00000000\n",
       "9  0.003103834 0.01301938 0  0.02741486 0.1091409 0.02772174 0.04084525\n",
       "10 0.000000000 0.00000000 0  0.00000000 0.0000000 0.00000000 0.00000000\n",
       "11 0.832404627 0.72343112 0  0.66189411 0.1009345 0.82659638 0.73795874"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "quantiseq_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1323cea2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xcfPXr00KFDH374oflilNTU1Lfeemvnzp0PPfRQi78J3EYcGOyioqJ27tx53UWd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ZsDAwOnTJnSwL46ffp0WFiYo6Nj7969f/zxR0mSzpw5\nU1ZWJknSTz/9JPfJysqSJCkrK6vmKs6ePTt06FBPT093d/dhw4bJ70ZERBw4cOCNN97o3bt3\nfZtQq7YBAwbMmDHDNOyRI0dUKlV2dnZkZKSjo2OtfW4mgh0AAC3a2LFj1Wp1ZmZmcnLy4cOH\n58yZI4SQT4Cmp6fn5+cPHDhw+PDhFRUVDY9z8+bNH3/8cc6cOQ4ODjXb33///YULF9b3qd69\ne48cObJmyNizZ8/Jkyfj4+PvY1u+++67IUOGyK9VKpWNjc2HH364bdu2jIyM+fPnx8TE3Lp1\nSwgxevTooqKitLS0/Pz8fv36jRgxIj8/v4H+NdnY2NjY2GzcuHH37t2rV68W9ewrg8HwzDPP\n9OjR48aNG1u3bo2Li5NLMmcrxo0b5+vrm5OTc/nyZRcXl0mTJgkhkpKSOnTosGrVKvlcdp2b\nUKu2adOm7dy503Q1xa5duwYPHtypUydJkiIiIr7//vv72MMEOwAAWq60tLTjx48vXbrU19c3\nODh427Ztw4cPP3ny5NGjR1euXOnl5eXo6BgfH19VVbV///6Gh7pw4YIQIjQ09F5r6NGjh2nK\nqqio6NVXX924caOTk9N9bE56enpYWFjNlpdfflmepPzjH/9YXl6enZ196tQpeevatm2r0WiW\nLFlSXV198ODB+vrXuaIxY8Y88sgjLi4u9e2rI0eO5OTkLF682NXVtWfPnjExMeZvRUpKyoYN\nG5ycnFxdXV988cXjx4/Xuteh4U0w1fbCCy9UV1fL5+KNRuOXX34pTzEKIcLCwmpOo5rvAbp5\nYlbEVmuXgAfI5LjHrV1CS3DT2gXcm/Pixl37/OFEyH2MbBg8q4F3O3/31H2M2eosfT5M5Fwf\n36u9tQtpZeRTgYGBgfJieHh4eHj4zp07hRB+fn41e8q57a70ev291qDX621sbOTXb7755rBh\nw5566v87aA8dOvTss8/KPSsqKuS7ZLp27Xrs2LGa3UpKSvR6vbe3d83GDh06yC/kecSKiors\n7GyVStWtWze53dHRsWPHjqYAd2f/L7744sUXX5Qb//nPfz722GNCiKCgILnl3Llzoq59ZTQa\nbWxsOnXqJLfI50/NdOrUqSVLlmRkZAghbt++rdPpqqurbW3/N1OdP3++gU0w1ebk5DR+/Pit\nW7dOmDAhOTlZq9XKu1EI4e3tffPm/XyFPkDBDgCAVke+HbXWhJB810JFRUWtk6oNh7auXbtK\nknTq1Kl+/frVbK+urlapVHfe92qSkpLSvXt3IcT333//7bff/vvf/67VYcCAAWlpaUKII0eO\nxMfHHzhwQAihVqsb2KL6FutkMBiqqqrq6z9s2DB57UKIzp07yy/s7e3lF/Xtq4SEBFtbW9No\npuR656prtWRlZY0YMWLBggUHDhxwcHDYt2+fOfcF19wEU21CiGnTpvXv3//q1au7du164YUX\nNBpNfZtpJk7FAgDQcgUFBRmNxl9//VVePHbs2Nq1a4ODg4UQpjQjzJuu8/DwGDp06LJly2o9\n02f+/Pmm697ulJiYePjw4YkTJwohtmzZUlxc3LVrV29vb29v77y8vIkTJz777LOOjo6dOnXq\n1KmTj4+PnZ2d/Lp9+9qzs66urra2tnediAoODjYYDPJ8mBDi1q1bly5dkje5Tm5ubqH/YQpG\nNUcTde0rX1/f27dvX716VW6UL4wTQtjb20uSZLru7eLFi7UGTE1N1ev1s2fPlpPikSNHGrMJ\nffv2DQ0N3b59+5dffjl58mRT+82bN2tNbZqJYAcAQMsVFhb26KOPxsbGXrx48dy5c9HR0RkZ\nGSEhIREREbGxsZcvX9bpdBs2bOjRo4cpozRgzZo1FRUVvXr1SkhIyMjI+Oc//zlp0qSPPvro\nrbfeMvW5detWbm5ubm5uSkrKvHnznn/++aioKHlSat26dZmZmWn/4e3tvXLlyo0bN5q5LZIk\nhYaGnjlz5q6bPGDAgLi4uIKCgrKysjlz5ri4uNzr0/JM6ttXAwYM8Pb2fu+99yoqKjIyMkxb\noVaru3TpcujQISFEeXn52rVraw3YqVOn6urqI0eO3L59OyEh4V//+pcQQt75Go0mKyuruLj4\nnjZh6tSp7733nru7u3wSWXbmzJmePXvex/YS7AAAaNG+/vprR0fH0NDQxx9/vG/fvsuXLxdC\nbN++3d/fv2fPnl5eXp9//vnBgwdrXUZWp+Dg4BMnTgwZMuStt94KDw+fMGFCeXl5SkrK0KFD\nTX0+/fTTgICAgICAIUOGJCUlbdq06ZNPPpHf8vT09K9BpVJ5eXnVnFgaPHhwzbmxOw0bNuyH\nH364a50JCQl2dnYhISGBgYHZ2dnJycl3PlrFfHXuKzs7u6+++urw4cNt2rSJjo5evHix+M9d\nsevXr9+3b19QUNDQoUPlmypqnuPu169fXFzc6NGj/fz8Dh06lJiY2Lt377CwsOzs7Ojo6PXr\n1/fo0eOeNuHll1+uqKgw3TYhhDAajUlJSbUuZDSTdN+/WdFsSkpKdDpdIwfx9vaeOejvTVIP\nYA5unlAqbp64b0ufDxNCjO/VvqCgoJFDqdVqNze3pijqf5WWlrp8eP/Roe4xY7UuLi5NO2Zr\nd+nSJfmmilr3xlqFXq83GAx2dnZCiJSUlAEDBpSUlDQmQd6fs2fP/uEPf8jOzm7Xrp3ckpiY\nOHXq1EuXLjk7O9/raMzYAQCAZtKxY8eYmJh58+ZZuxBhNBq7d+8eHR1dXFx87dq1RYsWDRo0\nqJlTXXV1dXZ2dlRU1IwZM0ypTqfTLVq0aN68efeR6gTBDgAANKdly5Zdu3btzmvXmpkkSbt3\n7758+XJAQEDPnj2dnJw+//zzZq5h8eLFoaGhISEhNX9jbd68ee3bt//zn/98f2PyuBMAANB8\n7O3tTbegWlfPnj3lmySsZeHChXf+5kcjfyyYGTsAAACFINgBAAAoBMEOAABAIQh2AAAACsHN\nEwAACCFEaaz27p2Alo0ZOwAAAIWw+IzdlStXVq5cmZWVlZiYaGrMzc3dunXr77//rtfrAwMD\nX3755ZCQ+3mYOwAAAEwsG+ySk5M3b94cHh6elZVlajQajfHx8T179ty0aZONjc1XX321cOHC\nTz75hN9dAQBY0W8/5TbtgN0G+zftgMBdWfZUrE6nW7FiRb9+/Wo2arXa69evDxkyRKPR2Nvb\njxgxorKy8tq1axatBAAAQPEsG+wiIiLatGlTq9HNza1bt27ffvttaWlpZWXlt99+265du06d\nOlm0EgAAAMWzzl2xb7/99vz581966SUhhIeHx/z58+3s7EzvXrhw4ZtvvjEtjhgxws/PzwpV\nAgCamiRJTk5O1q4CUCwrBDu9Xh8fH9+tW7f33ntPrVYfOHBgwYIFa9as8fDwkDtcunTps88+\nM/V/9NFHu3Tp0vx1AgAswdHRsZEj6PX6JqkEUB4rBLv09PSLFy8uW7bMwcFBCDFu3LiDBw/+\n/PPPzzzzjNwhLCxs/fr1pv4BAQElJSWNXKmbm1sjRwAANInGf6Xb2Ng4Ozs3STGAwlgh2BmN\nRqPRaDAYTC21/vby9PTs27evabGkpESn0zVffQAAizEajXylA5Zj2ZsnioqK8vPzS0tLhRD5\n+fn5+fmVlZXdunXz8PDYsmVLWVlZVVXVnj17bt261adPH4tWAgDwKIDxAAAgAElEQVSA4un1\nekmSvv32W9MLa1eE5mbZYBcXFxcVFbVmzRqDwRAVFRUVFfU///M/Go0mPj6+sLBw+vTpkyZN\nOnr06IIFC3x9fS1aCQAALcq4ceOkukyePNmi683NzY2JienUqZO9vb2Pj8+oUaOSk5NN7/bp\n00cuQ6VSeXl5DRkyZNu2bUaj0dTht99+e+aZZ9q0aePu7j5o0KCff/7ZotXiXln2VOzmzZvr\nbO/YseP8+fMtumoAAFqytWvXLlu2TAhx9uzZyMjI7777rnPnzkIIV1dXy630t99+GzhwYLt2\n7T766KNu3brduHFjy5YtTz755K5du5599lm5z+TJkxcvXqzX6y9fvpycnPzqq6/u379/165d\nKpXKaDSOHDkyIiIiKytLrVYvW7Zs+PDh2dnZXl5e8meLiorOnTv36KOPWm4T0DB+KxYAACvw\n8fEJCgoKCgry9/cXQnTo0EFebNu2ba2eubm5kZGRzs7OPj4+MTEx5eXlQojr16+PHz/ez8/P\nycnpiSeeOHnypDkrjYmJadOmTWpq6tixY0NCQp588slt27bNmTMnPT3d1MfJycnf379Tp06D\nBg2aN29eUlLS3r17d+zYIYTIz8+/cOFCVFSUm5ubRqOZMWNGWVlZzR+XOn36dHR0dON3Du4b\nwQ4AgBZt7NixarU6MzMzOTn58OHDc+bMEUKMGTNGCJGenp6fnz9w4MDhw4dXVFQ0PM7Nmzd/\n/PHHOXPmyE+lMHn//fcXLlxY36d69+49cuRIOdi1adOmf//+GzduLCwsLCsr27RpU2BgYFhY\nWOO3EU3FOg8oBgAA5khLSzt+/HhCQoJ8Mfq2bduuXr168uTJo0eP7t27Vz4HGh8fv27duv37\n95tOp9bpwoULQojQ0NB7raFHjx5ffPGF/Pqrr74aOnSovF5fX99//OMftWIirItgBwBAy5WV\nlSVJUmBgoLwYHh4eHh6+c+dOIUStn2WSc9td3cfjnfV6vY2NjRCiqqpq5MiR/fv3//HHH+3s\n7DZs2DBs2LAzZ85kZGTImVKv11dUVLi7uwshunbteuzYsXtdFxqJYAcAQMslSZIQouZ9qeI/\nv95RUVFRa7as4dDWtWtXSZJOnTrVr1+/mu3V1dUqlUpeUZ1SUlK6d+8uhPjpp59Onz6dnJws\nPyD67bff3rBhw5dffvmnP/0pLS1NCHHkyJH4+PgDBw4IIdRq9T1uK5oA19gBANByBQUFGY3G\nX3/9VV48duzY2rVrg4ODhRBylpKZM13n4eExdOjQZcuWabXamu3z588fMmRIfZ9KTEw8fPjw\nxIkThRAGg6HWTwzIj5t2dHTs1KlTp06dfHx87Ozs5Nft27e/t01FUyDYAQDQcoWFhT366KOx\nsbEXL148d+5cdHR0RkZGSEhIREREbGzs5cuXdTrdhg0bevTocfXq1buOtmbNmoqKil69eiUk\nJGRkZPzzn/+cNGnSRx999NZbb5n63Lp1Kzc3Nzc3NyUlZd68ec8//3xUVJR8r0b//v19fHxi\nY2OLiooqKiqWL19eVFQ0YsQIC24/7hHBDgCAFu3rr792dHQMDQ19/PHH+/btu3z5ciHE9u3b\n/f39e/bs6eXl9fnnnx88eLDWJXd1Cg4OPnHixJAhQ956663w8PAJEyaUl5enpKQMHTrU1OfT\nTz8NCAgICAgYMmRIUlLSpk2bPvnkE/ktNze377///urVq127dvXz89u3b9+BAweCgoJMnx08\neHDNeUQ0P66xAwDAmvr06VPrErpa2rRpk5iYWKvRx8dn165dtRptbW1NQ9U3ZkBAwKZNm+pb\nV2pqasPVhoaGfvPNNw33gRUxYwcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAA\nUIgH6HEnHydNKS4utnYV5nJwcFCpVOXl5dYuxFyurq52dnaFhYU1n0jekqlUKldX19Z1SDg7\nO5eVlVVWVlq7FnO5u7trtdpWdEh4enpWVVXVeih/Lfn9bzb5qlPv+TfZ/x+NRmMwGFrXIWHt\nEgCFe4CCHQAADeg22N/aJQCNxalYAAAAhSDYAQAAKMQDdCrW1naLt7e1i7hHGo21K7hHnp7W\nruAeta5DYuYgydoltGKT4x6/a5/z4kYzVHKn3i4bTa+vvrS74c6nfnldfvHaxhAL1mQZS58P\nG9+rvbWrqNfbI3c27YDLvhnftAMCd8WMHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAo\nBMEOAABAIQh2AAAohF6vlyTp22+/Nb1ozpU2w7pquX37du/evdesWdOcK509e/YzzzxjNBqb\nc6XmI9gBAGAF48aNk+oyefJka5fW9JKSklJTU5t82Lfffrtdu3avvfZac+7MpUuXXr58eeXK\nlU0+cpN4gB5QDABAy7F27dply5YJIc6ePRsZGfndd9917txZCOHq6mrt0preRx999PTTT/fp\n06cJx7x8+fL69euPHDkimndnqtXqBQsW/OlPf3rllVecnZ2bfPxGYsYOAAAr8PHxCQoKCgoK\n8vf3F0J06NBBXmzbtm2tnrm5uZGRkc7Ozj4+PjExMeXl5UKI69evjx8/3s/Pz8nJ6Yknnjh5\n8uRd11hdXS1J0ubNmwMDA6dMmdLAIKdPnw4LC3N0dOzdu/ePP/4oSdKZM2fKysokSfrpp5/k\nPllZWZIkZWVl1VzF2bNnhw4d6unp6e7uPmzYMPndiIiIAwcOvPHGG7179xZC3LhxY8KECX5+\nfhqN5rHHHvvll1/urG3AgAEzZswwDXvkyBGVSpWdnV1zXRs2bOjTp094eHgDO9PLy6sxmyyE\n+PTTT7t37+7o6Cjv/MrKSiFEZGSko6Pjjh077v6fudkR7AAAaNHGjh2rVqszMzOTk5MPHz48\nZ84cIcSYMWOEEOnp6fn5+QMHDhw+fHhFRUXD49jY2NjY2GzcuHH37t2rV6+ubxCDwfDMM8/0\n6NHjxo0bW7dujYuLE0KoVGYFhnHjxvn6+ubk5Fy+fNnFxWXSpElCiKSkpA4dOqxaterEiRNC\niNGjRxcVFaWlpeXn5/fr12/EiBH5+fm1aps2bdrOnTvlFCWE2LVr1+DBgzt16lRzXd99992Q\nIUMsuskXLlyIiopau3ZtWVnZv/71r5SUFPkMrCRJERER33//vTn7pJkR7AAAaLnS0tKOHz++\ndOlSX1/f4ODgbdu2DR8+/OTJk0ePHl25cqWXl5ejo2N8fHxVVdX+/fvNGXDMmDGPPPKIi4tL\nfYMcOXIkJydn8eLFrq6uPXv2jImJMb/alJSUDRs2ODk5ubq6vvjii8ePH691k8GpU6fklbZt\n21aj0SxZsqS6uvrgwYO1anvhhReqq6v37t0rhDAajV9++aU831ZTenp6WFiYRTe5uLjYaDR6\nenra2Nh07tw5NTV17ty58lthYWHp6enm75lmwzV2AAC0XPIZz8DAQHkxPDw8PDx8586dQgg/\nP7+aPS9cuGDOgEFBQfKLc+fO1TmI0Wi0sbExTY/J50/NdOrUqSVLlmRkZAghbt++rdPpqqur\nbW3/N2ycP39epVJ169ZNXnR0dOzYsaPpHKupNicnp/Hjx2/dunXChAnJyclarfbZZ5+tuaKS\nkhK9Xu/t7W3RTQ4PD4+Oju7bt2/fvn2feuqpl156KTg4WH7L29v75s2bZu2U5sWMHQAALZck\nSUKIWvNejo6OQoiKigpjDabJpIbZ29s3PIjRaLS1tZXXK4SwsbGpcxyDwVCrJSsra8SIEU89\n9VR2dvb169c//fRTc+oxGAxVVVW1ahNCTJs27dChQ1evXt21a9cLL7yg0Wju/KypyIbd9yZL\nkvS3v/0tMzPzpZdeOnbsWEhIyK5du+5p1c2PYAcAQMsVFBRkNBp//fVXefHYsWNr166V543S\n0tJM3cycrqupvkF8fX1v37599epVuVG+ME4IYW9vL0mS6bq3ixcv1howNTVVr9fPnj3bwcFB\nCCHfr3rnSg0GgzylJ4S4devWpUuXTNNgNfXt2zc0NHT79u1ffvnlnU8tcXV1tbW1vdc5s3vd\nZL1ef/PmzU6dOsXExBw4cCA6Onr9+vXyWzdv3jRzvrCZWTzYXblyZfbs2fK1irL09PRRd/jm\nm28sXQkAAK1OWFjYo48+Ghsbe/HixXPnzkVHR2dkZISEhERERMTGxl6+fFmn023YsKFHjx6m\nXGKm+gYZMGCAt7f3e++9V1FRkZGRsXHjRrm/Wq3u0qXLoUOHhBDl5eVr166tNWCnTp2qq6uP\nHDly+/bthISEf/3rX0IIuSqNRpOVlVVcXBwWFjZgwIC4uLiCgoKysrI5c+a4uLjUDAk1TZ06\n9b333nN3d3/sscdqvSVJUmhoqHzjquU2+f/8n//zyCOPnDhxwmAwXL9+/d///rcpg545c6Zn\nz573tPbmYdlgl5yc/M4778j3Hpt069ZtSw3Lli1zcHBomXsHAACr+/rrrx0dHUNDQx9//PG+\nffsuX75cCLF9+3Z/f/+ePXt6eXl9/vnnBw8erHXpmDnqHMTOzu6rr746fPhwmzZtoqOjFy9e\nLP5zV+z69ev37dsXFBQ0dOhQ+Q4DvV5vGq1fv35xcXGjR4/28/M7dOhQYmJi7969w8LCsrOz\n5bmuHj16CCESEhLs7OxCQkICAwOzs7OTk5Pre9rcyy+/XFFRcedtE7Jhw4b98MMPFt3kyZMn\nT5s2TX64ySOPPBIYGLhixQohhNFoTEpKeuqpp+517c1AsuhvYiQlJfXo0eP8+fPLli1LTEys\ns89f/vKXkJCQCRMm1DdISUmJTqdrZCXe3t5CbGrkIIB1zRzUQi/paBUmxz1u7RLq1dtlo+n1\n1Zd2N9z51C+vyy9e2xhiwZosY+nzYeN7tS8oKGjkOGq12s3NrUlKMiktLX175M6mHXPZN+Nd\nXFyadszmodfrDQaDnZ2dECIlJWXAgAElJSXN/+Tks2fP/uEPf8jOzm7Xrt2d7166dKlr167H\njh0z897Yht3TJicmJk6dOvXSpUst8AHFlr0rNiIiQghx/vz5+jokJydfu3ZtwYIFNRtLS0tz\nc3NNi15eXvKOBgC0dpIk1bxH8v6Y+Uw13B+j0di9e/fHH3985cqVFRUVixYtGjRoUDOnuurq\n6pycnKioqBkzZtSZ6oQQHTt2jImJmTdv3j/+8Y9Gru6eNlmn0y1atGjevHktMNUJ6z7uxGAw\n7NixY/z48bX+kaempsrPBpStX7++b9++zV4dAMAi3N3dGzlCzdN/aHKSJO3evfvPf/5zQECA\ng4PDoEGD/v73vzdzDYsXL16xYsW4cePee++9BrotW7ZswIABa9euffXVVxuzunva5Hnz5rVv\n3/7Pf/5zY9ZoOdYMdr/88ktlZeWTTz5Zq719+/Zjx441LXp4eJjuwblv8h06AACra/xXuhCi\n8dN+aEDPnj3lmySsZeHChQsXLrxrN3t7e9MdrI1k/iZ/8MEHTbJGC7HmP4wff/xxwIABdz4g\np2vXru+8845psaSkpKysrJHrItgBQEtgNBob/5WuVqv5VgfqZLXLFG7dunXq1CnOsQIAADQV\ny87YFRUVVVdXl5aWCiHy8/OFEM7OzvKfWVlZWdXV1b6+vhYtAAAA4MFh2WAXFxeXl5cnv46K\nihJCTJs2bdSoUUKIoqIiSZI8PT0tWgAAAMCDw7LBbvPmzfW9NXjw4MGDB1t07QAAmG/ZN+Ot\nXQLQWDwKCAAAQCG4XRwAACGEcHFJaNoBS0vr/VElwEKYsQMAAFAIgh0AAIBCEOwAAAAUgmAH\nAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAtGK2traJiYnWrqJuer1ekqQffvihMYNkZ2dL\nknT27NlGlvHtt9+aXjSmnhaOYAcAAMySlJSUmppqfn8bG5sff/yxd+/elisJtRDsAACAWT76\n6KN7CnaSJA0ePNjDw8NyJaEWgh0AAFZQVlYmSdJPP/0kL2ZlZUmSlJWVZTAYJElKSEgYNmxY\nSEhIx44dP/vsM7lPbm5uZGSks7Ozj49PTExMeXm53F5QUDBs2DAHBwcfH59t27bJjWfPnh06\ndKinp6e7u/uwYcOysrKEENXV1ZIkbd68OTAwcMqUKfV1q3NdERERBw4ceOONN+QZuOvXr48f\nP97Pz8/JyemJJ544efLkneObTsV+/vnn0v9v9uzZ9Q0ihEhLS3v00UednJx69uyZkpJS5w6s\nc2/UN+CDg2AHAEALolKpbGxsPvzww23btmVkZMyfPz8mJubWrVtCiLFjx6rV6szMzOTk5MOH\nD8+ZM0f+yOrVq+fPn3/z5s2pU6dOnz69rKxMCDFu3DhfX9+cnJzLly+7uLhMmjRJCGFjY2Nj\nY7Nx48bdu3evXr26vm51rispKalDhw6rVq06ceKEEGLMmDFCiPT09Pz8/IEDBw4fPryiouLO\n8WUvvfSS7j/27t3r5OT03//93/UNYjAYIiMju3XrlpeX949//GPTpk117qg690adA1rmP1QL\nZWvtApqPXh9VXFxs7SrM5eDgoFKpTH+NtXyurq52dnaFhYUGg8HatZhFpVK5urq2rkNi3WHn\nsrKyyspKa9diLnd3d61W24oOCU9Pz6qqKq1W28yrLhTvml47nH63gZ5CiP7/eZEaKzQajcFg\naF2HhLVLaDVefvnltm3bCiH++Mc/lpeXZ2dn63S648ePJyQk+Pr6CiG2bdt29epVufOLL774\n2GOPCSGmTp36/vvvZ2dnh4aGpqSk2NvbazQaucP48eONRqMkSUKIMWPGPPLII/Jn6+x2+vTp\n+tYlO3ny5NGjR/fu3evl5SWEiI+PX7du3f79+1944YWa4+v1erm/JEm2trZCiMzMzMmTJ2/c\nuLFXr171DRIQEJCdnX3o0CEnJycnJ6dZs2aZ5jVN0tLS7qywvgGfffbZpv7v03I9QMEOAIDW\nokOHDvILBwcHIURFRYV8c2hgYKDcHh4eHh4eLr8ODg6WX8j5TM76p06dWrJkSUZGhhDi9u3b\nOp2uurpaTldBQUGmFdXZTT4vXOe6ZOfOnRNC+Pn51Wy8cOGC/KLm+DWVlZVFRkZOmTLlpZde\nangQSZI6duxYa+tqqrPCnTt3NlDVA4JTsQAAWF+tuW15au3OFqPReOdnVara/zfPysoaMWLE\nU089lZ2dff369U8//bTmu/b29g13a2BdMkdHRyFERUWFsYa5c+fWGr+WKVOmeHt7L1++vOFB\nbt++XXMPmKb97ro3Gq7qAUGwAwDACuzt7SVJMp1Jv3jxYsP9g4KCjEbjr7/+Ki8eO3Zs7dq1\n9XVOTU3V6/WzZ8+WJ/yOHDlyT93uui55Fi0tLc3UcteJsb/+9a9Hjhz54osv5FnDBgbx9/c3\nGo2XLl2SG01l1FRnhfdRlfIQ7AAAsAK1Wt2lS5dDhw4JIcrLyxtIabKwsLBHH300Njb24sWL\n586di46Ols+f1qlTp07V1dVHjhy5fft2QkLCv/71LyFErevkGuhW37o0Gk1WVlZxcXFISEhE\nRERsbOzly5d1Ot2GDRt69Ohx5/gm33///aJFi3bt2uXp6anX6/V6fXV1dX2D9O/f38vLa9Gi\nRUVFRefOnVu3bp2Ze+Neq1KkB+gau1kRW61dAu7T5LjHLTPwDcsM2yr94USIJYb1tMSglmQn\nhLe1a7hXzvW0GwbPqrO983dPWa6Yu7r4/ggrrr2lWb9+/cyZM/fu3evj4zNv3rx//OMfdZ52\nNPn666//9Kc/hYaGOjk5RUZGms5p3qlfv35xcXGjR4+WJCkyMjIxMfGpp54KCws7deqUmd3q\nXFd0dPTcuXN37dqVk5Ozffv2WbNm9ezZ02Aw9OjR4+DBg7Uubqvpk08+qaiokO/wkIWFhaWl\npdU3yDfffBMTE+Pn5xccHPzBBx8MHz78ztuw6qywzgEb3qsKIzVwBr2FKCkp0el0jRzE29t7\n5qC/N0k9aH4WC3b4XxYKdrCiFhvsCgoKGjmIWq12c3NrknpMSktLXVwSmnrMCS4uLk07JtAw\nTsUCAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQD9ADigEAaEBp\n6QRrlwA0FsEOAADBk4ShDJyKBQAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQFr954sqVKytXrszK\nykpMTKzZfuDAgb179xYUFLRv337ixIl/+MMfLF0JAACAslk22CUnJ2/evDk8PDwrK6tm+6FD\nh3bt2vXaa6916NAhJSXl73//+8MPP6zRaCxaDAAAgLJZNtjpdLoVK1acP3/+p59+qtm+a9eu\nSZMm9enTRwgxevTo0aNHW7QMAACAB4Flg11ERIQQ4vz58zUbCwoKrl+/LoR4/fXXr1271rFj\nx2nTpnXr1s2ilQAAACieFR5QXFBQIIT44Ycf5syZ4+bmtnPnzkWLFv3tb39zc3OTOxw5cmTp\n0qWm/osWLerRo0fz1wkAaHKSJHl4eDRyEIPB0CTFAMpjtbtiX3jhBX9/fxcXl6ioKEmSUlNT\nrVUJAACAMlhhxs7T01MI4eTkJC/a2Nh4enoWFRWZOvTr12/fvn2mxZKSkprv3h9vb+9GjgAA\naDyj0dj4r3S1Wm06yQOgJivM2Hl6enp4ePz222/yYlVV1c2bN9u1a9f8lQAAACiJZWfsioqK\nqqurS0tLhRD5+flCCGdnZwcHh2eeeWbnzp3+/v7+/v4JCQkODg48xw4AAKCRLBvs4uLi8vLy\n5NdRUVFCiGnTpo0aNWrs2LHl5eUfffRRWVnZQw89tGTJEgcHB4tWAgAAoHiWDXabN2+us12l\nUk2cOHHixIkWXTsAAMADhd+KBQAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAo\nBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAohGQ0\nGq1dw12UlJTodLpGDuLt7a3X64uLi5ukpGbg4OCgUqnKy8utXYi5XF1d7ezsCgsLDQaDtWsx\ni0qlcnV1bV2HhLOzc1lZWWVlpbVrMZe7u7tWq21Fh4Snp2dVVZVWq7V2LebSaDQGg6F1HRI2\nNjYFBQWNHEetVru5uTVJSYDCMGMHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCFsrV1A87G13eLt\nbe0i7sXMQZK1S0CLMDnucfM7/+FESH1vGQbPqrs9s96P3IeDT5X870LZPXzwtY1NWUbzW/p8\nmDVW22pum/h/cq6P79Xe2kUASsaMHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEO\nAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABA\nIWwtvYIrV66sXLkyKysrMTHR1JiTk/PZZ5/9+uuvRqMxMDDw5Zdf7tatm6UrAQAAUDbLztgl\nJye/8847/v7+NRv1ev1f/vIXJyenDz744MMPP2zTps2iRYsqKiosWgkAAIDiWTbY6XS6FStW\n9OvXr2bjrVu3Ro8ePX369Pbt2/v6+j733HO3bt26du2aRSsBAABQPMsGu4iIiDZt2tRqdHNz\ni4yMdHR0FEKUlpbu37/f398/ICDAopUAAAAonsWvsauPwWB47rnndDpdaGjo4sWL1Wq16a1z\n58599dVXpsXnnnuO2AcAyiBJkrOzs7WrABTLasFOpVJ9/PHHRUVF33zzzTvvvPPhhx+a/qlf\nuXJlz549pp5DhgwJDg62UpkAgCbm4ODQyBH0en2TVAIoj9WCnRDC39/f39//4YcffvHFF//5\nz3+OHDlSbu/Tp8+2bdtM3by8vIqLixu5Lnd390aOAABoEo3/SrexsXFxcWmSYgCFsUKwO3Xq\n1IYNG9asWWNvby+EkCTJ1vb/K8PFxaV79+6mxZKSEp1O19xVAgAswGg0Nn6+TZKkJikGUB7L\nBruioqLq6urS0lIhRH5+vhDC2dk5ODi4srJy1apVL774olqt/vrrrysrK3v37m3RSgAAABTP\nssEuLi4uLy9Pfh0VFSWEmDZt2qhRoxYvXrx169bY2FhJkjp06PCXv/zFx8fHopUAAAAonmWD\n3ebNm+ts79ix48KFCy26agAAgAcNvxULAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApB\nsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMA\nAFAIgh0AAIBCSEaj0do13EVJSYlOp2vkIN7e3nq9vri4uElKagYODg4qlaq8vNzahZjL1dXV\nzs6usLDQYDBYuxazqFQqV1fX1nVIODs7l5WVVVZWWrsWc7m7u2u12lZ0SHh6elZVVWm1WmvX\nYi6NRmMwGFrXIWFjY1NQUNDIcdRqtZubW5OUBCgMM3YAAAAKQbADAABQCIIdAACAQthau4Dm\nMytiq7VLAKB8k+Met3YJLdnNPk93s3YNgJIxYwcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2\nAAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAA\nCkGwAwAAUAiCHQAAgELYWnoFV65cWblyZVZWVmJioqmxsLBwy5Ytp0+frqqq6ty585QpU7p2\n7WrpSgAAAJTNsjN2ycnJ77zzjr+/f632JUuW5OfnL1q0aNWqVd7e3vHx8ZWVlRatBAAAQPEs\nG+x0Ot2KFSv69etXs7G0tLRNmzYzZ87s3Lmzr6/vxIkTtVptTk6ORSsBAABQPMueio2IiBBC\nnD9/vmaji4vL3LlzTYsFBQUqlcrb29vUUlhYmJWVZVoMCAjQaDQWrRMA0DwkSVKr1Y0cxMbG\npkmKAZTH4tfYNay0tHTNmjVjxozx8PAwNZ4+fTouLs60uEgVVLkAABOnSURBVH79+r59+1qj\nOgBA03Nzc2vkCHq9vkkqAZTHmsEuNzd38eLFvXr1mjRpUs32jh071mzx8vKqqKho5LocHR0b\nOQIAoEk0/itdCGFra+WJCaBlsto/jNOnT3/wwQcTJkx4+umna73VuXPn1157zbRYUlJy69at\nRq6OYAcALYHRaGz8V7pareZbHaiTdYJdRkbGX//619jY2N69e1ulAAAAAOWxbLArKiqqrq4u\nLS0VQuTn5wshnJ2dVSrVqlWrRo0a1bFjR7lRbndwcLBoMQAAAMpm2WAXFxeXl5cnv46KihJC\nTJs2rWPHjtevX9+xY8eOHTtMPaOjo0eOHGnRYgAAAJTNssFu8+bNdbbv37/fousFAAB4APFb\nsQAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAA\nAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhZCMRqO1a7iLkpISnU7XyEG8vb31\nen1xcXGTlNQMHBwcVCpVeXm5tQsxl6urq52dXWFhocFgsHYtZlGpVK6urq3rkHB2di4rK6us\nrLR2LeZyd3fXarWt6JDw9PSsqqrSarXWrsVcGo3GYDC0rkPCxsamoKCgkeOo1Wo3N7cmKQlQ\nGGbsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACiErbULaD62tlu8va1dxD3SaBp6d+YgqbkKwT2Y\nHPe4EKK3y8aajZ2/e8pK5Sjf0ufDmmysS63mdqX/aDW3Tfw/OdfH92pv7SIAJWPGDgAAQCEI\ndgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAA\nAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgELaWXsGVK1dWrlyZlZWVmJhoaiwrK9u0adOZ\nM2d0Ot1DDz00ffr0tm3bWroSAAAAZbPsjF1ycvI777zj7+9fq33VqlV5eXkLFixYvny5RqOJ\nj483GAwWrQQAAEDxLBvsdDrdihUr+vXrV7MxPz//+PHjr7zySmBgoJ+f3/Tp069cuZKenm7R\nSgAAABTPssEuIiKiTZs2tRozMzPVanVgYKC86Ozs7O/v//vvv1u0EgAAAMWz+DV2d9JqtS4u\nLpIkmVrc3NxKSkpMiz///PP8+fNNi8uXL3/kkUeatUQAgGVIkuTl5dXIQfR6fZMUAyiPFYKd\nEKJmqruTg4ND+/btTYtqtbq6urqRa7S1tc6WAgBqafxXutFobJJKAOWxQtxxd3fXarVGo9EU\n70pKSjw8PEwd+vTps23bNtNiSUlJcXFxI1fq7e3dyBEAAI1nNBob/5WuVqvt7OyapB5AYazw\nHLvg4GCdTnf+/Hl5UavV5uTkdO/evfkrAQAAUBLLBruioqL8/PzS0lIhRH5+fn5+fmVlpaen\nZ//+/detW3fx4kX5KXddunQJCQmxaCUAAACKZ9lTsXFxcXl5efLrqKgoIcS0adNGjRr1+uuv\nb9q0aeHChdXV1Q8//PC7777b8FV3AAAAuCvLBrvNmzfX2a7RaN544w2LrhoAAOBBw2/FAgAA\nKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATB\nDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUQjIajdau4S5KSkp0Ol0jB/H29tbr9cXF\nxU1SUjNwcHBQqVTl5eXWLsRcrq6udnZ2hYWFBoPB2rWYRaVSubq6tq5DwtnZuaysrLKy0tq1\nmMvd3V2r1baiQ8LT07Oqqkqr1Vq7FnNpNBqDwdC6DgkbG5uCgoJGjqNWq93c3JqkJEBhmLED\nAABQCIIdAACAQhDsAAAAFIJgBwAAoBC21i6g+cyK2GrtEgCYZXLc41ZZ73lxwyrrfZDc7PN0\nN2vXACgZM3YAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4A\nAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIWwtcpay8rKNm3adObM\nGZ1O99BDD02fPr1t27ZWqQQAAEAxrDNjt2rVqry8vAULFixfvlyj0cTHxxsMBqtUAgAAoBhW\nCHb5+fnHjx9/5ZVXAgMD/fz8pk+ffuXKlfT09OavBAAAQEmsEOwyMzPVanVgYKC86Ozs7O/v\n//vvvzd/JQAAAEpihWvstFqti4uLJEmmFjc3t5KSEtPiv//9723btpkWJ0+ebEqBAIBWTZIk\nFxeXRg5iNBqbpBhAeaxz80TNVHenvLy8H374wbQ4duxYe3t7yxcFAGgOjf9K1+v1TVIJoDxW\nCHbu7u5ardZoNJriXUlJiYeHh6lDv3799u3bZ1q0t7cvKipq5Eprjg8AsKLGf6Xb2Ni4uro2\nSTGAwlgh2AUHB+t0uvPnzwcFBQkhtFptTk5O9+7dTR0cHR3bt29vWiwpKdHpdM1fJwCgyRmN\nxurq6kYOolLxEFagblb4t+Hp6dm/f/9169ZdvHjxypUrK1eu7NKlS0hISPNXAgAAoCTWucbu\n9ddf37Rp08KFC6urqx9++OF333234avuAAAAcFfWCXYajeaNN96wyqoBAACUissUAAAAFIJg\nBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAA\noBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCMloNFq7hrsoKSnR6XSNHMTb21uv\n1xcXFzdJSc3AwcFBpVKVl5dbuxBzubq62tnZFRYWGgwGa9diFpVK5erq2roOCWdn57KyssrK\nSmvXYi53d3etVtuKDglPT8+qqiqtVmvtWsyl0WgMBkPrOiRsbGwKCgoaOY5arXZzc2uSkgCF\nYcYOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSiFdwV2ySWLVvWtm3bqKgoaxeiWF99\n9dW5c+dmzZrl5ORk7VqUKS0t7cCBAyNHjgwLC7N2LcpUWlq6Zs2ahx566Nlnn7V2LYr1ySef\n5Ofnv/XWW9YuBFCsB2XGLjEx8ccff7R2FUp25MiRPXv2tKLHLrQ6Fy9e3LNnT3Z2trULUazK\nyso9e/YcPXrU2oUoWVJS0r59+6xdBaBkD0qwAwAAUDyCHQAAgEIQ7AAAABTiQbl5AgAAQPGY\nsQMAAFAIgh0AAIBCEOwAAAAUwtbaBTSBsrKyTZs2nTlzRqfTPfTQQ9OnT2/btq2Zfcz5LMzZ\nS4WFhVu2bDl9+nRVVVXnzp2nTJnStWtXIcTrr79e89FrDg4OX3zxRXMW3yqYs4fr25Mcw2a6\n645KT0+fN29erU9FR0ePHDmSw9hMV65cWblyZVZWVmJiYp0d+CoGLE0JN08sWbKkrKwsOjra\n3t5+x44d2dnZq1evVqlU5vQx57MwZy+9+eabdnZ2r7zyiqOj444dO06dOrV582YHB4eoqKix\nY8f269dP7qZSqTw9Pa2xES2aOXu4vj3JMWymu+4onU5XUlJiWszLy1u4cOGHH34YEBDAYWyO\n5OTkzZs3h4eH//TTT/UFO76KAYsztnI3b94cNWrU+fPn5cXS0tIxY8akpaWZ08ecz8KcvaTV\nat9///3Lly/Li3l5ec8888y5c+eMRuO4ceOOHz/ezDW3LmYeh3XuSY5hM93Hjnr33Xd37Ngh\nv+YwNsehQ4fy8vJSUlJGjx5dZwe+ioFm0Or/HsrMzFSr1YGBgfKis7Ozv7//77//bk4fcz4L\nc/aSi4vL3LlzAwIC5MWCggKVSuXt7a3T6W7fvp2SkvLGG29MnTp16dKlV65cae4NaPHM2cP1\n7UmOYTPd645KTk6+du3ac889J+rf+aglIiKiTZs2DXTgqxhoBq0+2Gm1WhcXF0mSTC1ubm41\nz6c00Mecz+Je95L8S+pjxozx8PAoLy93d3fX6/UxMTFvvfVWVVXV3Llzb9261SyFtxrm7OH6\n9iTHsJnuaUcZDIYdO3aMHz/e9v+2d/chTa1xHMB/0+PMjU170ZapKBQzVNCQVZbrRUVTp4JQ\nrUEGKSZBRZImlQWWIkURhZpEQgYZkr0tMkSM1DBMzH/MPyxaviRlxZau2Wa7f5zb2PXmvad7\n99IO389fPq8758fjw89n25FhaP7gu+jSeQRbMYAL8OHLE/bbwa/24TIWuEdpdHS0oqIiNjY2\nLy+PiPz9/a9du2ZrLSkpycvLe/r0aUpKilMu1GP9a4TniySXscDiHqju7m6TybR582a2iGXs\nQNiKAZzN40/sAgICDAaD1e4rIHq9fuHChVz6cBkL3KM0MDBQWlqqUqmKiop+uk37+fkFBgZO\nTk468XI90H9Yh7ZIYg1z9EuB6ujoSEhI8Pb2/mkrlvF/hq0YwAU8PrFbuXKl2Wx+9eoVWzQY\nDCMjI6tWreLSh8tY4BilwcHB6urqQ4cOZWZm2ip1Ot2lS5csFgtbNJlMHz58kMlkrrlyT8El\nwvNFEmuYI+6Bmp6e7u/vVygUthosY0fBVgzgAt4nT5509zX8L35+fjqdrqOjQy6XG43Gmpoa\nsVis0WgEAkFbW9vg4KBcLp+vj0gkmm+su2/rN8Ilwt++fSsvL09LS1u9erXxBy8vL19f37q6\nurGxsfDwcL1ef/ny5ampqaKiIvajS8DiEmFvb++fRlIikWANc8ElyGzPly9ftre3azQasVjM\n1swXfCzjOT5//jw9Pa3T6Xp7e5OTk9lNgGEYbMUArsSH59gZjcb6+vr+/v7Z2dmoqKi9e/ey\nZ/hnzpwxGAwVFRX/0Ge+erD3rxEeGBg4fvz4nFHsk11fv37d0NDAfutNLpcXFBQsXbrUHTfx\nW+OyhueLJNYwR1yCTESPHz8+f/78rVu37PM2LGMu8vPz379/P6cmKysLWzGAK/EhsQMAAAAA\n4sFn7AAAAACAhcQOAAAAgCeQ2AEAAADwBBI7AAAAAJ5AYgcAAADAE0jsAAAAAHgCiR0AAAAA\nTyCxA3AKi8Wya9cusVgsEolGR0ed90Jr166NjIx03vwAAOBB8C9xAJzi0aNHjY2NGo1m+/bt\nixYtcuDML168iIuLsz1afMeOHV+/fnXg/AAA4LmQ2AE4xeTkJBEVFhYmJiY6dubOzk774sGD\nBx07PwAAeC68FQvgeMnJybt37yYipVIpEAjevHmzYcMGpVKp1WpDQ0MTEhLYbk1NTQqFQiQS\nSaXS+Pj4pqYm+0na2to2btwokUhkMtm2bduGh4eJKC0tbf/+/UQkEAji4+Ppb2/FPnz4UKlU\nSiQSPz+/6Ojoc+fO2c72lEplYmJif39/UlKSVCoNCgpSq9Vz/rknAAB4NCR2AI5XU1Nz4sQJ\nIrpy5Upvb29wcLCvr69erz98+HBZWdnRo0eJ6ObNm2q1OiQkpLm5+caNG4GBgWq1+sGDB+wM\nbW1tqampCxYsqKurq6ys7OvrUyqVExMTFy9ezM7OJqLe3t7GxsY5r3vnzp2MjAyxWHz9+nWt\nVpuamlpcXFxaWsq2CoVCnU5XWFhYVlY2PDxcW1vb3NxcUlLiurgAAICzWQHACRoaGoios7OT\nLSYlJRFRS0uLrUNlZeWWLVtmZmbYol6vZxhGo9Gwxfj4+IiICLPZzBafPXsmFAovXLhgtVr3\n7Nlj/5u7Zs0auVzO/hwZGRkWFmab02q15uTk+Pj4TE5O2q6hq6vL1pqUlBQcHOzoWwcAALfB\niR2AiwiFwszMTFuxrKysvb1dKBSyRalUKpPJ3r59S0QfP358/vz51q1bGebPT8EqFIqZmRn2\nTdj5jI+PDw0Npaen2+YkIpVKZTabe3p62KJIJFq/fr2tNSQkZGJiwkH3BwAA7ofEDsBFlixZ\n4uPjYysaDIby8vKYmBh/f3+GYRiGGR0d/f79OxG9e/eOiIKCgn5p/rGxMSJavny5feWyZcuI\naHx8nC0GBgbatzIMw74iAADwA74VC+Ai9lkdEalUqu7u7tLS0rS0tICAAIFAkJqayjZ5eXkR\n0a+mXAKB4O+jrFarbUIAAOA9JHYAbjA8PPzkyZOCgoLTp0+zNRaL5dOnTxEREUQUGhpKRCMj\nI/ZDdDqdSCSac+RmLyQkhH6c29mwRbYJAAB4D3/HA7iB2Wymv+ZbtbW1JpNpdnaWiCQSSUxM\njFar/fLlC9s6NDQUHh5eU1NDP07mLBbLnDllMll0dLRWqzWZTLbKlpYWkUi0bt06J98QAAD8\nFnBiB+AGK1asCA0Nra+vj42NXbx48e3bt/v6+jZt2tTX19fR0aFQKKqqqrKyslJSUg4cODA1\nNXX27NmgoKDCwkIiCg4OJqLKysqoqKjc3Fz7aaurq1UqVXZ29r59+4RC4b1791pbW6uqqqRS\nqXvuEwAAXAsndgBu4OPj09LSEhYWplarc3Nzp6am7t69W1xc7Ovrm5ubOzY2lpGRcf/+fYFA\nkJ+ff+zYsaioqK6uLplMRkQFBQVxcXGnTp1in4dnLz09vbW11Wg07ty5Mycnp6en5+rVq0eO\nHHHHLQIAgBsIrD+eSg8AAAAAHg0ndgAAAAA8gcQOAAAAgCeQ2AEAAADwBBI7AAAAAJ5AYgcA\nAADAE0jsAAAAAHgCiR0AAAAATyCxAwAAAOAJJHYAAAAAPIHEDgAAAIAnkNgBAAAA8MQfU3tM\nyyOTDVgAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# QuanTIseq generates scores that can be interpreted as a cell-type fraction. Let’s visualize the results as a stacked bar chart with tidyverse/ggplot2.\n",
    "\n",
    "quantiseq_res %>%\n",
    "  gather(sample, fraction, -cell_type) %>%\n",
    "  # plot as stacked bar chart\n",
    "  ggplot(aes(x = sample, y = fraction, fill = cell_type)) +\n",
    "  geom_bar(stat = \"identity\") +\n",
    "  coord_flip() +\n",
    "  scale_fill_brewer(palette = \"Paired\") +\n",
    "  scale_x_discrete(limits = rev(levels(quantiseq_res)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ceb4d7e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qKioqKsrKyBi1gPBwCwcmyxS0tLe/XV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\nAAAASfw/k8addCtn8tgAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "epic_res %>%\n",
    "  gather(sample, fraction, -cell_type) %>%\n",
    "  # plot as stacked bar chart\n",
    "  ggplot(aes(x = sample, y = fraction, fill = cell_type)) +\n",
    "  geom_bar(stat = \"identity\") +\n",
    "  coord_flip() +\n",
    "  scale_fill_brewer(palette = \"Paired\") +\n",
    "  scale_x_discrete(limits = rev(levels(epic_res)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4732d76e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3oaqDhSaGdYyiYrLq0dbps+zkcvgiBUN7rRImhxOBxW3epbC8smmqaj+4ZaBALK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HmXKYqy2WySn/6hKEra20TTNEEQLpeUJj4XoES4nNzZ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hvdIjzbeYrTM/1QfSA1aMiQqkkFT+VrOgct\noQR2u90ruuwW3PKlNRBn68rrY6Ws4/M/2nDhp+Un37Wyv9+7elfdqcYT35z6sntSj6e7vpCi\nTQ3TRDgX9prnH5o+tN1ul3A05jjO6XQGLXY452V0OMJcroMU5S7sRu/Zw1T/PkeEAACLBV6s\nFPbtc+d38rQNvpjHsizuCgAi4gOIW7sdYQvf2SUYuLXbAQDNtdtZlpUIwMHzvNlslq4n4TiT\niqdk6Q9JQ+TmgIfHXxoxEp475z0o1NZyJ08513xP5OaoZkwnunULmk/TwQIfEahImIbspoTW\n/SolAh2UjwnpeFjgGoY7kd76l5GRkZ+fjz5rNBqbzSaxXRcpCmOSpjbSxlf6vPb1mVVfnl7l\n5H375Y7xnSd2mZwf3ynk/JsLhKsIFQEICBREKlLR6kDXB0KI5JZDLqEE75e8/WXZ54F+PVh/\nYPLOCf/utyg3NvSXcViFnHFLOIdceOnKjCTPg7aIsHa4h1dhhNRUtn2e+sB+MsDGWYLjtEcO\nMzabu6fUsi7P8wRBYN1hjcJEYTXRvI1jsoJbux2dCKae1ovfViNtEVUSiQrP83w411/QhLU7\nnmAY+t4xZMeO7MsvB3K/gOUVnn8+qnl1Hn1HwKD6kbn+EahIWIfsplawtmuAfwTxWvExETSQ\nYSQmdps2bVq2bJkoio8//jg6EhcXZ7FYZs+eXVpayvN8Tk5OQ0NDtyYPKxMmTJgwYQL6bDKZ\nJk2aJPGiFreisN1u/2f3xx/q/vCOi1uP1B2uc9ZqaG2rmFY3Zg7slFSgNL6JD0jXWafTNY0Y\nkqhNqnfVyc8kN7ltoOvj8XiQY3k4hfTLt6e+kpjVIUzuxhl7p64Y+aVRHcp7dr/6xy0Ibgnn\nkFWotVqtxIodTdMajUai2Gazmef5cM5LMBigW0FwbyItDWg0gFERcUYiK5uOjaVXfweDuUPR\nFeWxSYmB9DAghA0NDQzDxMbGKii6QlAIidACssjE4/HYbDatVos1qEoEtNvtdju6Vli9Ys1m\nc2xsrM8kjGEYiWkZRVEGgyFQhRdFsbGxkWGYkO+y0LGj/FceEEACELoRw6EokolJqi4FmqFD\nhcoLdX+9N4hTLct6pr0cm99JVeg/ygEaLLRaLabwUogIVCTcQzYi5O5XPrhHEBBgEOQ4Tvop\nBfvEbtWqVV988UXXrl2PHj3qPdiuXTuO42iafu+99yiKWrly5fHjx1u3bo27MOEQo4q5PWf4\n7TnDI2CrX6v+P5xeIzMxQzK90vpgLU9zTG7Tkv1vyEl5yV71/uF3nus9BXeRorQgRGYWrFPw\naEEOHEgYf+96xP37obwXduKBA2S79iCmJf3Zo0RpWaiUFCY/nzshSyKZAATdrl3Ce+/+fkgU\n68c+BGW8CIZut3naSyk/rGkBTeco/8NgD3eybt26u+6666abboIQ1tfX19fXo5BOAIALFy7U\n1NTU19eXl5cDALA+l/+xGJ03Rn7i23LuiFFFelz8ruwbByd3n8d/S7+WnzjK9QCRlyf/bSyR\nntF0VgdEUTx2NHDyqxEE8fgxhaWLEiXS6B/8m/zEMVcn9uzcyR2V2yLYgwc9xbsVlCxKlGbg\nXbE7ceKExWJZs+by4lNRUREA4NFHHx0xYkReXp7Vap0xY4YgCHFxccnJyTnReFdX6JpcODRn\n2IaKn4Km1DLadnF5X574PFmX0jWlMEmbHIHiAQC2XfhNfmJWYIurdg5pPRRbcaK0MERsLFlQ\nIB45EjwpRZF9+zY9AKurgZI4rvDcOdCnb/B01xuiCGtqoM0GOJbQ6YiUFKCPrjv+adE/+DfH\nZ59xJ4MLiNPt2ukfGtv0iGvDL4psuX/5Rd3vj9ciRIuF3bOHv1RNkCSVkaHu05vAKckQRQK8\nE7vCwkIU7qS4uHj+/PmrV6/2/jR16tTp06dXV1cDAGianj59elO9nQ0bNpw69XsTQtJVgawg\n8SV8cr/IAwWTHKpXV9tHDPGZbi9UmMrLzNL9COHiXEv2L0RfSILsltzj4c6PFiR28aZA4tkt\n7o531nJWUfqyutK+SQOUWkEb2/H5EiLPEnz5i6IYWthtlmUlxDFRbZQoNnKYCve8OnVmauvI\n6iBxT7ievTxabVPNTbK2RpEaEbRaHTZboAVC3FqxoijyPK/IBMFxVEkJWVZKXD1/FZOShcJC\nMdXXDRzdSmm/zvBBEhpYRW+9PS1uLxCn0+nTmaN+TOIvV2nFXg3aaa70LjdH9+Yy6733Q0lH\nSyI+Xv/WMifHgSbjhaesTJEhd2kZ7a+ogQaLliWEiiScOeP6z2J+06+wyb8ItZoZPlz75CSy\nVSuf9LiHbETI3a98UNXCrWbefBC8LrRim8Pz/OzZszt27Dhv3jyGYdatWzdjxoylS5fGx8ej\nBFu3bvUJdxI0YIdbyV5vpWBtSOCKVo/PwQV9Fr1+eP6O6m2B/3fVrRWheKB234HafWPzih5o\n/2BTr46W7e4hgEpfrVrclpBDruDWisaaf2iZS08CBEHgOC5ozuGfl7tPH+3hQ6qzZ5se9MZh\nhQzj7NGDy8gAVxtSO53KZCYhdNtsMICOqiAIERALl2+CtFpjdu0inX66crK+jty00dM+z9W5\nc/M9Un7b+B+RCISGad6ZS/fAoih6PB7pm9gCFSkpSbXiM/aZZ2GAzXZEhw6qRa97UlN9WoRg\nsSoS4hMsZomiXm8VSfjhB2723OaL9NDjYb/7jt2wQTX/FXLgwOZ/xDpkIyLQdUAII99BXacT\nu6NHj1ZUVMyfPx959/z1r3/96aeftm/ffuedd6IE48aNu+uuu9Bnl8v17rvvGo3GQLk5nU6O\n4wwGA6bnSJfLxTAMJkcwlmVdLpdWq20uEG4ExtcHL95bvfvrU1/srdnt5i83A5IgRSj16P9p\n6YeMmhnf5VFw5fGrxb2oEjSJivx2U2PTJO5gINByWgy2nfUoVhM+j0i73a7X60PzipWYiyOv\nWInrabfbBUEI4YL74ZZBsL4OHD9OXLyI+m4CABAbC3Jy7FnZMUlJfv5y5fFMLhQVm+xnCwGE\n0Gq1MgyjC0MJKig8z7MsK9eE3U7s3AEk+3F1WamaYWDv3t4jKO6gRqPB6mnodrspisKt3c6y\nbExMDFZnRr+thmEYiXZEUVRMTEygCt+SFcloBGt/cK9e7frqG3bvXoCmmxSl6nkDM3o0NXKE\n1l9nZU5J9ijpA5hU/72lxGDRgiiqSO4131temi6VwuHgnn3e+MFy9U03eo/hHrIRIXe/8sE9\ngoAAgyDHcdLnFYmJ3cWLFz/++OOmKxAVFRUQwnvvvUqD6/jx496JXdu2bdteCV5qMpkIgpCo\nZ6hy0DSNqbvxeDz4ekxvIJxA+ffPurF/1o0CFBpcDXbW9sKWZ86ay4Nm+8HRd/tl9u+W0kMU\nRQhhixe+Y2L+9koFE7uuqYUhlAFFVMI6VuHOX3pACgRFURJdHopjJ1FsZLHFzis9A6RnAAiB\nywVZltDpgEoFAICNjX5NwNQ0RevbRFIS7TcfCAH+GwQA4Hlepglh21Yo5+m85DidlUVkZ6Nv\nqOvDPetiWRa3CbRWR9M01nAnBEHQNO1T/6Ujq6G/BDp3dP2lm4wimPvuM9x3H/R4hJpaACGV\nlkqo1SzLsizr14S6WzfPLxvl56/p3omPvdsAACAASURBVM1vPkEHixZBfkUSKiutLwYPdwBZ\n1vrk5LSd28kr/pG4h2wvoXW/isDdQQUaBKXPC69XLABg/fr1U6ZMQR6vXq/YIUOGGI3GgQMH\nLl269N133x02bBhBEEOHRjfXB4QiqBRdSknDMTmzOgAAAPDNA4vxlUeRJ0SiNqkwxX+ssih/\nGAgC6HREXBwItlpAJCQQShYLiT+I1xQ8dxbW1MhMLO7dg7UwUa45hFpNZ2fRrbOJYAux2uHK\ngmRphwWMUXxdYX3jPzKjXYomk/3td3CXJ4oX7BO7FStWWCyWkydPAgCKioqKioo2bNhgNBrn\nzp3rdDqnTZv2zDPPbN26dfDgwT169MBdmD8668vXyU5LHKo5WO1oCcVPfwzLHZEdKzfu4MNd\nH6EIvE9mUa4ryB43yE2q05H5oQu3RBLx9Bn5iWFjI2ymixXlfxMmr732ysuooOj+cg+dm4u1\nPC0C5DjX2rXy0zubuE5GwQ32V7ErVqwA/rxiW7duPX36dADAtm3bPvnkk4kTJzb9l8vl8u4P\nRbp4QTU0kIdjyxY+ApmjbGXmf6g2kGStv5wBPFh9YFCrIUDG1VMKRVAzBsx9fMN4Vgiyk7pv\nRv+/5N0bWgG8FyeUIiq0EoHMSxtPrS3/fu+l3bXOWgBAii6ld3rfEW3vah+f1/xfEqWCV5Bv\nGhMBTbRtS5w7C8uDry6TA2+GFAX85ePNPPQTgRBWVMCzFaC+HrrdgGEIoxFkZZMdOnjXHeXX\nMRjMQdgH8dIlMj4eKGzj4RABE5GxEoIJib+0QEWSVwAJE8ZZM9n9+4WqKulM6KxM4/SXpU8k\nnOsvWiyOL7/ybNzEl5dDh51MSGS6dtWOHK4dNqypW7ocE+zxEtGmwIWOP3+Br6qi0tMVWQmT\nCDQH3Fb81qvrQlJMAlEUP//88/vvv99n08a8efN8vGKDqvlilabG7b8jRyDcztm9/hMyOddw\n1m60AzzOQa3IzKndp//74FyXEDDz7kk9ni+YamoMS+wZt5Az1vyRnLlbcL95bPEvleub/mTx\nmMtMpStLPh2aeceEgska6ncHF4fDIeE8wfO8y+UKWuwICGBLmCAKuuhcbuZSwJEMUpSrew9W\nqwWS5WRZNrQToSwW3b69lNXaNC/ocICqKv7gAVeXLmz270vOwT09IYxT2IhcDfXuJiV3Op24\ngy+AK4/BWLFYLLhNNJeHl/YT53neYrFI1xOPx3NN/HkvQ5HUsqXiE0/AiwFbBJGZSS1dYgJA\nukXIGSz8Iqz5nl+4CDa5faLNzp875/rhB6J9e9Urc4m8358wg1Yk8cxppQVoLC0lm2zkwDpk\nX7YYkVXzyPe0KASbRPprPLHbsWOH2+0eNGiQz/G2bdv2vuJWplKpqqurJfYnohBHNE1j2iYp\nCALaro4jc1EUkcRv0Pz1lOJgj1pGS1EUklsOtYBS3NhqYCv9O++ffHtPTbHPTwbG8EDe3//a\n7r5wXsJCCAVBwLdTG02e8OXPcRzDMHbO/tyuyactpYGSbahcX2Evf33AkhjmsuuTtDw2kjyX\naBE8z+PwmPEBnV3AnxmGvfFG8cxp1fHjRLMBVUhJYbt1h3Fx0kVEkogh1F6qtla9fRsRYHJM\nsKxu/37G6WK7dEFhouSYgCRJKAl7RDIMuj7y23g4YO2mvCaw9rQInueb13/p85J2ngBhVCT5\nIDc1KRMdO6i++tKzZBn37beQ55qGoyJomrl3jOqJSdKbU8OpSOziJdy77wX6FZaVecb+Q/fm\nUqpvX5kVidcqdjFm9HqSYUCkKlKQDqolwD2CgFAHwWvjFYtYt27dRx99xHHcU089NXbs2F69\nenl/Gjdu3Lhx49Bnk8k0adIkidgNSFHYYDBgard2u12lUmHyMFek65yoTWpw1cvPvG1yO51O\nx/O8Hk8EcEEQsvjsBTe+0Sg2bK/cUmmrtHP2ZG1yQXLXfhkDNHS4MVaQ/nHLhO3wB5Jwxpe/\nyWQyxBpe2viixKwOUWYu/fehuYtvfQt191qtViJUFZLolii22WzmeR7feSEaGxuDm7ihJ+jW\nHV68CGuqocNJMDQwGIisbDo+PmjkDwhhQ0MDTdNKxQahzSrs2gmCxW5kTpRoUlP4NjlI2D5o\ntoLBIFMAF6FNTtEZjQAAj8djs9k0Go1Wq5X/d6VEQLvdbre73e6YmBisI5nZbI6NjfWZWDT3\nk22KdLgTURQbGxsZhsEalgJ5xQaJzWQ0gkWvi1OnuDZu4k6eFE0mMj6eyc/X3jqETEwMakLR\nYNEU59df2wLP6i7jcrmffjblp3WepEQ5FYnv2EHZCjZJGjt0QI6xuIdshMlkio2NxTp3xD2C\ngACDIHpQkfgX9ondtm3bli9fnpmZWXX19oJNmzZ98cUXHMc9/fTTZrP5/fff79y5M9aAVX8C\n+rca8MPpNTITqyn1DWm9AN7IypfJjm39f53GBk/3v8ev537ZVbVDTsqdF7dvPrdpcOtbcRcp\n0lAUkZ3tjf0RAcTdu4G8l25CcTHI8A2LHwgiK0vBxI4giMxMuYmj/C9BJiXp778vYuZEm808\ne66slBaLZd4rmjcWyklM5+bSrbP5c+dlFkN1ww1kVA4+UmD3ijWbzVOnTs3OzgZNwp0AAL78\n8svBgweLopifnz9q1Kj33nsvOqsLyl863Bs80RVGtL1LS2NcIYgih89PrFCQuOQzfCX5X8Fu\nhxUVchO73eCMXF9XomN+IN0zP4lzckFLRwWPEiUEnN98K8reaub66Sfx4kWZifVjFTzMx4z9\nu/zEUcIE+4rdmjVramtr0eeioiIAwPjx4wcMGFBdXY22Ek+cOLF169bjx4/v2LEj7sL4hRf5\ngzX7KyzlTs4Zp4nLS+iYn9iJkK//EkEKkroOb3vnujM/BE0Zp45/pNvjEShSFAksrPlY3RH5\n6Y/UHbJ4zEZ1HL4i/ekRz8tdQkAQlReAvEB6RFwc2amTeOxY8KQqFdm7V/BkUVBcmPo64HQB\nhiaMcUQTr8koLYJ7o4LYyEAUuS1bVfImYTHj/uFY9QV/OrgXhapXL93doxQU438VyHHs7t1c\n2WnocJAJCUxBAd05lGhQ2Cd2y5cvB83CnZSWlgIAKisr33rrLaPR+MUXX8yaNeudd97xvkhe\ns2bN8ePH0WeSJEVRlHDSQRsYm+tGB8UtuL8oXflN2Rf2q5VP03RpD3Uaf3v2MJIgwRUPFLaZ\nFl6LgIKJezwemXKuTxY8U9FYfsJ0XCKNhtbM6jtPI2iRtBSEEJOvHHK65jgOX/7Stz78/PFd\nHABAlf2itPibDyIUy2pKOyZ0ktb5FgSBZVmJYqP9rLgdJLFeOi+CICiywjTUK9q2A80Wnufl\nmuhcoKqvJ6urpdJQFNevv5sgwZU8vW0cq+Q0z/M8z2NVEUWZO53OFnHRoM6fp48eIZq6LQMA\naVqV29ZZUACu3uOFttsHygrJvQe6iaibUnCXQwJ5NmA1oXSwQLBnZMa0vwxXXu52u2VWJN2b\nS20P/E06ZCOZ2UrzxiJ7E5fwkIdsRYiiGJr7sHxacgRxOt3LP/B8+hm02ZoeJjNbMY8/Zr/n\nnqavC65TrVjEfffdl5mZCQAoKiravHnzvn37hgwZgn7au3evT7iToAFHlLqy17iqZ+ydetbm\n561NtbP63/vmbrnw64vdpmlpHQgmQR0+inSd5/dZuOTowk0Xf/H7a7ouY2qPGe1j8ppeMUUd\ngVIEQcB6fXDHmsGXv4NT3K2YnGa3zi3tzS6KIs/zQYsdAY3tCJhQWrtIt1vZxI5jFZlw9+mr\nO3JEVVEOAGiu7C5qtc5evfmEBNDsyqCJl5KihUIE5OHDf8QlRFF78ADjb22V4HlV6Smx8oKj\nX3+hyZYs6RuEHrylayPubsprBbcJRYMFAEBUOLkRrVYFJtLSVCtXcM89Jx4v8fs72aePav4r\nrCGmeYu4ltFnrjMrsPIi9+STor8puFh50TPtZX7jJuaVeeDKdrXrdGKXkJAAAPC6alIUlZCQ\n0DR20YQJE/72t7+hzw6HY9GiRXFxAd9POZ1OlmWbO1JJYPaY/rXluSq71GaC4pqd84/MfWPQ\nMrfLzVyJXNDisCzrdDp1Op0ir9t5tyy4v+7wt2Vf7by43cpaAQAkQXZJKhyac8ddbUcz5O9F\nZVlWEARM7njIYUelUmHaH4keufD5slmtVgCAUqdL+STYg3u6+dAmuXWcMU6n00mMEDRNazQa\niRZhs9kEQZBI0CJYrVZ8lw4AACG0WCwMwyjz6Y5V5qFG6vSKK/Att4AuXUDJcVBZeXm4IgiQ\nlARyc8m8DjHNPEZRG9dqtVhdVl0uF0VRWOXhUU/bAs6MW7YAyTfmpNNp2LkDjLwTXHEylRb9\npCjKYDAEqvC4uykEmgxhNRHaYFGfnMwrCedGp6UpMxEXB378wfXjWve337I7d0GWBQAQWq16\n4E3ae8eob/XjDRbCkB0CVqvVYDBgXRRskRFErK9vePRRsVJqNiJs/o2eOi3+g+WAosD14BUL\n/IU7SUhIiI2NXbx4cWNjI4SwTZs2NTU1qamp3gQZGRkZGRnos8lkQmGKAuWP7hxFUfK7mwXb\nX5We1SF2X9r1xamV97QZQ1EUJg9/9BBPkqTS/Lun39A9/QYAgJ21u3hnojYJvTj2Ab2KxVR4\nNPkIofAyQfrHEVAcx5R5tqG1QWWwsbbgSQEAAMSoYtrE59IkTZKkdBw76WuO/ov1uiFwB3AC\nym8QTEsVFGxrBCA5OZQ6kJoKUH/FcYBlgVYr4VeBu5kgUJw23CYAAGFaEUtPieVnmq11NsPl\nIrZvo0ZeVuIiCCJoZMdApUJDD+6eBL2KxWoitMFC3b0bf+qU/PR0YWEIt9hwz2jDPaMBAEJd\nPUGRZEKCROIQhuwQQHcc68QOtES9apj2kiA5q0N4Nv/m+uRTwyP/BDKUJ7B7xa5fv37KlClo\nSuv1ihVFkeO4qqqqcePGvfTSS42NjSzLFhQU4C4M4mTDiV/P+X+P2ZyPjy6XUFa4HohRxSTr\nUvzO6qJcW2iSHpjlG3xbgkHZQ5qutkYJAaJVJlCyngFby5U89g/DAL1evrfs/zoQivv2g6Cz\nOpT20iVYWYm7RH96tCNHyk9MxsYy/fuFY45KTpKe1UVpCnvosGv9zzIT2xYvgfLUa7D3RytW\nrLBYLCdPngQAFBUVFRUVbdiwweFw3HfffSNGjPj0009feuklnU4HIWwuI4OJDWd/kp/Yylr3\nVO/CV5gof26KuvxT5lyNIZmHuz6Kuzx/fmiaLOwmMy2Rmgai0eYiCKy+BBwKdpqHoFsVxQfN\noFtUPXvKTGyYNJHAGUY7ig+uNXID0wIARLPZvWWrnJTYX9asWLECNPOKBQDcc889AICioiKb\nzbZixQq3252VleX9tbGx0StvarPZkKpGIBMQQpfg+qnkx62Vm8st5RaPOVZtbGtse3PWoFHt\n7tExvht0DtUcVHQKR+uPDGk9FNOuWPSaAC3jY8ofX+YoW+m7Ew5IpQf3fmR8+UMIW+kzn+zx\nzMJ9/w6aePINz6brMlBh0IlLZBvwsggCPH1ac7qMNJt5jweoVMBoBFnZRMeOLR5WDfet8apf\nK7bSuTO4cB5I+64CANRqeNNNEahjuNu41wpuE+iOhGMFXgp2U3yoqfF2MtIFC1QqobrauWIl\nu3Gj++w5i8tFJSfRXbpqRw7XjhoFWvS16fVckYwLX2u4624xmMivqm9f7fiHXSwbmYqEu2NH\ntwP3q1gQ3om49+5TlN6zd69q6G1BLV5Lr1hRFMeMGcNxXEFBwZw5c5p6JyxatMjHK1ZiPW9H\n9balRxeZ2d+Dwls9loO1Bw7WHvj46AdPdHl6QNrApunrHLWKylnnqMUd1gG3QDhW/yPc6tq4\nl3Kx5m82m29LvaOhY8PHJ5dLJBvX4Z+3ptzuLYnT6ZTwoOR53uVyNS82XV+v3b+Pcjp/b9Us\nC+rqQF2dePSIq3MBKy9gm3wisMrOcVwIVogbeur37Kbq6gJ16qJG4+jTVxAEYLOBlvD0DIrL\n5fI+rGLC4/Hgju8ArmwYDw2t2aTIf0R0OCwmEwimei4IgtVq9a0nEPIff8K/825Tf0yhtk7Y\ntMmzaZNlyTLmlXlkp3yFZxCECHh6hjJYxMXRby7lnnoa1geUqyd79SIWzDfbbOCPUJFkYlai\nARgy4XSDfI2yRx3XhQu8ySTdHMC1ndiRJLl48WKTybR27dqpU6cuXLjQK7RXUFDgHdhomj59\n+nQgh7LV5d8uPhRQAsXMmufsn/FE4dP3tB3jPahllC01axktwzCY/HcEQeB5nqZpTNtI0XM8\npi29EEKWZfFt2YYQ8jyPT8gZDef4HAlZlkWZP9SpqGty4TtHl5WafXcxd4jr+HjXJwqTujc9\nSNO0RLgBtHvap0VQlRdUu3aBAE9yBMfpDh1Uedyc7NeUQfGeHT48Hg9JkqFUALWaGzQYlpbS\nJccJlr0qLglBCDk5XJeutFZLY24gCNxtHMHzPEmSWN0MeZ4XBCGczpBS6hd8pZ5LWyQIQqVS\n+bQI1/QZ/FdfB/oLrKhgxxXp33qTDm9LmZfrvSL17Kn+7r+eN/7Drvnep5cgjEb1Y4+q/v4g\nQdMgIhUJzUtUKhXW5bQIdFDhjyCcTqdouY/S69VqddC7c228YgEAjY2NH3744eHDh1mWzc3N\nNZlMW7ZsGTFiBPr1/vvvv//++9Fnk8k0adIkvzEv9lwqlpjVeVl6+I2OKfl9Mi434MzY7HKL\nXB0hAECmIUur1WKqIkjXWaPRKNV1lgmKZqksYIRsUKRchmGCSF+HCopTgC/cCZJwxpe/yWSK\niYlBnddAwy0Dc28pM5XuvVRc7agGAKTp03ql920fn9f8jxqNRmINCUW1aFps2NgoFBcHmtV5\noU+cUKekEnl+LIZAY2MjVlV1CKHH46FpOnQrvXqBHj1gVRWsqwMuJ1CrQayRzM6mNRrvFIDj\nOLfbjfVEPB6PzWZTq9WYog4hHA6HHO32cEABz/V6fcjTFzExUUHAbgDI2Fh0a2ialhjMKIrS\n6XRNb6LtvffZwLO6y7jdrqeeTvl5PZ2dFSSlDFiWZVkWU0+ICHewMBjA0iXizBmuTb8KFRWi\nxUImJ6sKC9U3DiCajG4RqEg2m83j8ej1eqyPOk27X0yEP4J4WrcRTiuYjWjbtTMYDNc+3Mm2\nbduWL1+emZlZVVXlPXjw4MG5c+e2bdt21qxZWq125cqVJSUlSkNrilB8fc98mYlf2/Pql6O+\nowgKAHBj5k1bL2yWb6h3ass80kWJ0j4+z+9MLkzE4l1AXvBbYXcx3aaNIr/RPzYURWRlEVkt\nMHJHCR8yK0vRxI7Iyg7BilBXb31dlpK9aLVaXnk18Z23QrDyB4VMTNTfOyZ4uigRQTNksHvT\nJgXpB8sKs4DdK9ZsNk+dOjU7Oxs0CXeSnp4OANBqtSjspEqlghCmpaUpyrm4ame5We5U96yl\nYtfFHejz0DbD5MtxFqZ0z4vvoKhgUaJEEmgyQdm63cDtFmXL3keJ0sLoY4jWbeQmpmmyQyh9\nr3PVKihvixgE0LV2rRDUzyZKFDzoRt9Nyo4kr+7bh+kkSzoW+4rdmjVramsvOysUFRUBAMaP\nH3/XXXctWrToo48+evbZZwmCSE5OJgiig8I2vL1Slt9v0/Q3Zg4EAMSoYib1mDxv16ygf1FR\n6md7vaDISpQoEQYqlL2H58+DfMk94243rKyEVisQBaDVEampRFJSWEWMEuUKZJ/eQtVFIOP9\nDNm9OwhpD4nrV7kvZAhAAFF0/7pZ/38PSCTjSss8xcViTQ2gKCozU3PzQKpJOP0oUUKGjI01\nTnnBNGUqBJCQDO9IqNVxM2fIzBb7xG758uXAX7iT1q1bz5w5EwBgs9mmTJkyevTo+Ph4769r\n1qw5fvyyzj1Jkn6V4M9bzikqyTnzWW8mt2XcsSd79y/n1wdODgEgnu3+QramDdrpiclvLjRd\nZ0X54xNrR17rHMfhy9/vrW/B/LEq2YesQi0tGI+2NnqLzTQ2KNqoIlrMrgCnTDgc9OFD1Pnz\n4OroEvD/2TvzOCeK7IG/TufOJHMfzAz3NRwCIqCIoiPjgaLgogI/WC5ZREUWWWEHRc5F8WQR\nFgFhPRBh1VXAVQERPFBEEEQOh/uYkzmSyZ30+fujIYZM0ulkuiaTUN8PHz6Z7upXr7qquqqr\n671nMjE9erJXf9BEeut8oA6s3pSx25H6dxBi0SKNFSsId7lcjdpZTyrJ/jerftgjviWUbd3G\n06EjXKkXlmXFoye7XC5fJTLng0QAF8F16hQfogHQP/zoee119spgdBmCUN52m27mM2SH9v46\nNFlDQhp0uAkakqC/y+VCugEu6sevdOQZQR58UPPbEe8HG8VT6RYt9LZt63U4oNnGivVRVla2\naNGiXr16jRs3zv/4/v37A9ydNIyz6/RGdjcdlMMn5MeqPd+XfxMkiPcVtKT+2d5z+2XdJFyC\n2uNOpHGdIwXpgwB1dG3UgZyRyo9OuLg1O8dxDMP4JCu83gjD3tNBtVJeumTY/zMRrB0SNptq\nz/d8m7aunj39oyw0QYzthIndLoyXqHNB+hgRkOEVNz1dOeAW/YH9iqBuOxQKT6fOnoKCq9yU\niFaQ8OLta42cKzK3MqzdHqQl8zyz4l/M2nVBLuB55ptv7Hv3qhYuIO+5+ypR6BsS6sHClwvq\nLJrANUwTPKBkyYX4+yxlixbMin9Bg3vCA6/IyFQtWsjd3N+XUbOe2B0+fPjll18eNWrUkAYx\nT2bMmPH4448Lv+12+8KFC/3X8wSyjTlHzBFEhcwx5ghC9lf9vOTXRRRLiQS28bDus+7Td6cO\nBgCXy6VSqRA53fB6vUJcZ0RWSBRFMQyDKDS14D5Ko9Egki8s16GLNG+1WgmCQCrfZDJF8Vaq\n1+tFRgilUqnT6f7oESkpfGmpdOEKg6Fhb4KaGv7nfeIWGKrz51J1Wuh/s/BnfX19qLDrssDz\nfH19PTqbawGGYQQDPXRZUBTldDp1Oh0iy3cBl8ulVCqR+ndwuVxer9dkMslgzJiaCm3b8idP\nwrlzUFsDDAMEQZhM0LKlvWVLQ3aO7upFQXEfKyRJmkwmX6uuycxkIlmq0ebnGxv0CPuyNzxB\nZ3U+vF7678XGnGxNYSFcmW8hehJeyRDtYCHQBA3J6XRSFCVPQwpN1I/fiLKQbQT56zT2kYdd\n76337NjBnDsPDENoNMru3bX33sM98IDp6k//sbeKhRDuTn755ZfFixfrdLqNGzcePHhwypQp\nWVlZvrNpfsHmLBaLEOM5QGyPrJ47L+yQrkbPrOtJknQxrrk/zKbY8C+d7xxdd0vLgb2yegsx\n1xE1QaF6kMpHJ1wgaO3IJRmdcB/o5AvKR/FkUSgU4iHP/W8Ln53NHjkSgfDsHEVAkVmW/WZ3\nWLtaAoD//XeyVWuiVStAWe8Cwisp6lw4jkOdBeo+7sulCXo6yFgQkoTu3UEIEU7ToFSC0Obr\n60mSDBi3xDtRwCNafUNv5vx56Yro+vUNKBH162HHa69LubZ++oycH/coTCYhyAFuSFIQapMk\nySYYmJog8oRcpSDz89XPzoZnZwtfkRVGI1zx+RWQhbh3YmgCq9ht27YVFxcLU1qfVSxFUUuW\nLElNTX3mmWeeffZZkiTnzp0bqTftwlZF0iOmKxXKO1oXAcCHv280u0N6374a/s1DKyJSCYNp\neoj8lhG5LyHatQs4wp04wdvtEi/nDuyXnhcGIwmVCuQbgPUP3C89MZmVpe7XL+Cg7dVXJV7O\nWSyONW9Jzw6DCY9CoWicZ03kE7v333/farWWlJQAwMSJEydOnLhjx46ffvrJ6/XW1NTMmzdv\n9uzZ+/btq6ioEKLKSqdFUu7Qjn+SmPiBDg/mJuV5We/2c19KzoE4WHWg2hVZ/DEMpqlRqRQ9\ne0pMS7RqRTQw6OPPRuAAha+r461NEagHg4kO7aBB6uuvD58OAABMM54mrva3zNXXe77fIz07\n1+YI4rhjME0A8k+xwnQtwCp27969arX6o48+8i2TPvXUU/77dcxmsy+uot1uDxVc+cle0w5W\nHQgbRiLbkFPrrrlj4wAbFVlwOh74YzVH+qT1QxcUGXWAcKShwX3xudEpjzquNqDc7xx1FGqh\n4CJiA29Lt+5QVgaVlWHkGgxw84CG5eWrI3t74b79Dvr141WqJogU3gSB1Ztt7PZIc2ma2O1N\nkItgy98wa5FLArRK/ufrdUMf5MKFCtXefZd25IiA4ngP/SrR3bcAc+5c/cKF6gkT+ZRk3JCk\nINQm6gd71I/fSGn6B1TYHGNjPCHEifK/48nJyVar1ffn66+/HmAVGyrO7sI+SxYceO6U9WSo\nvHRK3SVn1SVnpYiphAgXay9cZ+iJ2n4nmrjOkYBUf6/Xi1Q+6kjzSOVHF4Xa5XKJWFAyDON2\nuwPUJm7oY/j5Z2X1pVBXcQaD46b+nNcbYHhF0HRyhA8m/lIVfLZV17JV/fXX84h3QNI0jboB\ngCyWnuFwu92+l1VEJEzsdv+xQEDcTlyw4rqqnaSkKFf+i/7rdL6mJtRVZNEgWDDf0iAvNpL9\neQL21WuI995XTv+rd+SISK+NFNSDBSRQQ4ru8RspTfCACshCvDtADK1ixefRffv29ZkXKRSK\nw4cPhzIoy9fm//PWlR+d2vjx2f846KscoOhVegIIJy000Cin7UadSdjjiSgoMsuyNE2rVCpE\n20iFd19EoamFaJ4kSSIyGeZ5nqZpdPZZwnwUnYmZ1+uNTrhKpRJxN6BQKJRKZWCP0GqZwkL+\nzGnlsWNEwARCqWQ7dmS6dVcHrSa1GggCRFdEgqIuvahyOak7BvHIAp97PB50rUtAWJxAmoXQ\nx5VKJdII8QzDoN68T9M0y7JqtRpphHgh/HTAACFeLoVCoVarA3vEDb35LZ96lq+gPv4vf3Vv\nUuTmap+aqn5wWNCNfXRKSqSuhvE5QgAAIABJREFUPgggwO1mXlxC1tbqnvlbhFdLBfVgIdBk\nDUmj0SBdTov68RtRFoByBIEQg2BYo5DYTOxSUlJsNttrr7125MgRmqY7d+5cV1fXq1cvX4Kh\nQ4cOHTpU+G2xWKZOnSri8oDn+ZEdxjza+7Ffaw+esZy2eMwp2tTWyW3ePLj8lCXkSp5EOmZ2\nUqlUarUa0fTC4/HQNK3RaBC5QhC8WSLy5sCyrNfrReeQQjAIQuftgqIogiDQyadp2mAwRPHw\n0mg0IougJEmq1ergal/fG3pdbz99Csxmg0IBajWRnELk5yuVSpFnD2MwQFQ+Nom6Ou0vB8hB\nRVFcGxae54WJHVJ3JzRNezwepFl4vV6hj+t0OnS5NEHsdofDwbKsXq9HOkOtr683GAwBc0fx\nV2uFQqHX64NUYlKS8dVXmOefN3/5haK0TMWyZEaGuldPde/eEFoa3blT1KtV3rfWGnr00P/p\nwWgFiIF6sBBogoZkt9uFhoR6+hjd41c6qEcQCDEI0jTdHCd2HTt2pGm6tLR03rx5Go3m3Xff\nLS8vjzSkWABqUt0/d0D/3AHCnx+WbGz8rC5Nm9Yto7vLiXbdG4ORE4JgM7OY1DSj5Dhgilat\nuOPHo8iKB4CzZ/mulUSLFlFcjsE0AQpjkqKoSKPRGKVZGqq6dCFzc9mKiuiysy76h+6euwmU\nDu0wGHGQW8VaLJba2lq73Q5+7k6E/YDCvhae591uN0EQ8u5A/LAkTIAOKTxS8H8KAvktwmBi\nC9G1m8gChtiFAADABQRcwmDiGoJIenRi1Fez1dXuL6T7XsBg5Af5it3MmTOrr9jcTZw4EQAm\nTZqUmZmpUqk6deo0f/58lmW7deuWl5d38uRJ/6+xjaHcXnbeGlm4wIa0Tm4zuttYWfTBYJoz\nRGqqolt37kgEcVz84ctKgedl9EOGwcSWpAnjXR99RJeciO5yz65d+oeGy6sSBiMd5BO7tWvX\nNjy4fft2k8k0ffp035E5c+b4W0Jt2rTp119/vayiUsmyrD20A1Vhm7nT6fR9dT5VfaqRaqdp\n0xf1W8K4GTvYGYYRNpM1UmZQhHVKYfMECvncFVAIF6zWaZoWqZ1Gyuc4DpFwuOI3BJ18ISRa\nFBd6PB6RBWyWZSmKElFbuDaycnXpoq6rJaP7/ETTjtpaHs2+H4Zh0FUQXOkgSLNoytjtSM17\nBf2dTidS4wmh1wRsIWIYRtwq1uVyhapE4TEVaUPSrljBjvkzV1Ul/RIf3rPnULQo1IOFQBM0\npIZDNgqifvxKB/UIAiEGwXi1ij169OjOnTuF34K7k7DzKv+G6PQ2qjqvS+v59+ufy1Bn+jJF\n7XEHdYBwpPqjDtOO2tcMal8wUVwlPoxxHCdEOJU3a2+/G3XHj2tOn4LIXwMot5tD84zmOK4J\ngoU3Qex21H0cmqQU0CTh4RvOKsSHMWFjj3g7ifgxlZmh2rCefu557qefgA/mViHoQUFbtxtd\no02YhtQEPoaa4NHRNLkEZBG2D8bSKpbned/0zmq1+gcmnzFjxuOPPy78ttvtCxcuDBK2/AoN\nIwq35ttI1uVy7yQJMkOf2Svr+sFth/gsMARcLpdKpULkEAF1XGeKohiGQRSaWnAfpdFoEMkX\nXrnkCbEcDDlDOIeQH10Uar1eL/JsVSqVOp1OpEfYbDaWZUUShOSWW/gePYgD+/kIXXklZ2eD\n3JaSPM/X19ejs7kWEKbIiMzGBSiKcjqdOp0OqTFjE8Rud7lcXq8Xdex2wQYwYFFQpVKJLBOS\nJGkymUI1eI7jrFarWq2OuJZTU+HDTd7vvrc+P5c912BvT+hurc5tEU3vCwfqwUKgCRpSwyEb\nBVE/fiPKAukIAiEGQZqmxVfNY2kVe+bMmQ4dOgCAzWYrLS3t0qWLL0FaWprvt8ViEXer0zCi\ncKe0zgZVkpOWsm5HAECWPuvzh3cSIXpqQIRpeUEd17lpIjojkh8Q7R4R6ORHHYVaoVCIXBX2\ntvh6RKT5AgCkpsKtA5mLF6Wv2xGZmSSCkUb4goa6AXAch2O3S0RoV03zPAkYt8Q7kfgjWrg2\n6lrWF94Of33KPH2G9Es0N96I4hYlWEPyH7IR5RLd4zdSUJeiYdMNu7cqNhO7tLS0/v37/+tf\n/5o2bZparV67dm379u27du0aKv2FCxf+/Oc/hzor+OANqEKlQw9eqSu9rI4cuzWknYTw6EfU\nPoQtPkJfQiFf2ASATjjLsuiUBwCWZdF1G9SuOKNW3mKx/OlPYnGQP/nkk++//14k30Z6peZt\nVqCkfnEjDAb47ydR5yVCE/hKFbawoM4CdTcBxI8pXxbCvUKaS9BeU1paKn7V888/L7Ig2tiG\nxLJ0ViYv7VWHIED54w/ELweizCs0qAcLXy6oG1LQIRtFLqgXBZrgAQXBCiIeYQ8AiLApEOFy\nudasWXPo0CHBKnbKlCmh1q7Dbk58/fXXv/3229WrV+fk5PgO0hztYTxGdRjHRTzwDsqhU+qU\nipCjoP8nY9nZtm3bm2++OW3atEGDBiHKAp3+ZWVlTz755KBBg6ZNm4ZCPiC++WPHjtXpdKtX\nr0YkvzHKa7XaUF9DKIryeDwi106fPr20tPS///1vdFkDALAssCyIfo7heZ4AAIq6HLtCbux2\n+5gxY2644Ya5c+fKLtwfpG0MAPbs2fPKK69MmDBh2LBh6HJBXQoAWLFixVdffbVs2bI2bdqg\nyyVUQRp+n/UhHoKvtrb20Ucf7d+/f3FxcfRaOZ1AkoTox3Se54GieJpWoNk8sGvXrmXLlk2Z\nMmXw4MEo5As0QUMKOmTLThMUZOzYsRqN5q233kKaS9CCKBQKkT0qMTOe0Ov1/laxIoT9hi3Y\nzOr1+ug+dSdDchRXyYVSqbTb7cIekRiqER06nc5ut3McF4/KA4AQDzHulA8bB4WiKKR7E5sM\nu91O03S8F0SlUsVvH/dHeMeO+kmLDvE9vh6PRwh10Ci1m0GRSZK02+1KpbK53f9IaeSQ3Xxw\nuVzNc/jD3ncxGAwGg8FgEgQ8scNgMBgMBoNJEGL2KVZGunXrRtM0Io8bqMnPzy8qKsrLy4u1\nItFgMBiKior8zZnji4EDByJ1HBAr+vXr17p161hr0ViUSmVRUVEjQ0g3B7Kzs4uKilq1ahVr\nRRpLly5d7HY7Uu8zKNBoNEVFRdddd12sFWksubm5RUVF+fn5sVakscT1kO3PwIEDkfqFiZqY\nGU9gMBgMBoPBYOQFf4rFYDAYDAaDSRDwxA6DwWAwGAwmQYjjPXYcxx05cuTEiRNWqxUAUlNT\nu3Tp0rVr1ybwNN144lp5iHP941p5ERKmXLggzYr4LUX8ah5AYhQkMUoB8VCQeN1jV1VVtWjR\nooqKivz8/OTkZACwWq2lpaXt27efM2cOijh9MhLXykOc6x/XyouQMOXCBWlWxG8p4lfzABKj\nIIlRCoiTgkQwsfN4PEeOHCkrK7v11lszMjIYhmlMzKJGMn/+/KSkpClTpvibaFmt1hUrVigU\nitmzZ8dKMSnEtfIQ5/rHtfIiJEy5cEGaFfFbivjVPIDEKEhilALipSC8NF599VWj8XJ4rr17\n9/I8/+yzz44fP56maYkS5GXkyJEVFRUNj5eWlo4ePbrp9YmIuFaej3P941p5ERKmXLggzYr4\nLUX8ah5AYhQkMUrBx0lBJBlPvPXWW88880xhYeGqVat8Bzt37vz+++8vXboUyXwzHCqVKmi4\nTIqiYriOKJG4Vh7iXP+4Vl6EhCkXLkizIn5LEb+aB5AYBUmMUkCcFETSxG7FihVTpkzZsmXL\nuHHjfAfHjh07c+bMtWvXItNNjOuuu2716tVnz57lr3xK5nn+1KlTK1euvP7662OiknTiWnmI\nc/3jWnkREqZcuCDNivgtRfxqHkBiFCQxSgFxUhBJe+x0Ot1nn31WVFTk8Xh0Ot3evXtvuukm\nANixY8eQIUMoikKvZyB2u33ZsmX79+9XqVQmk4nneSFe+M033zxt2jSdTtf0KkknrpWHONc/\nrpUXIWHKhQvSrIjfUsSv5gEkRkESoxQQJwWRNLHLzs5et27dkCFDAiZ2H3300aRJkwSL35hQ\nW1t76tQpm80GACkpKR07dkxLS4uVMpES18pDnOsf18qLkDDlwgVpVsRvKeJX8wASoyCJUQpo\n9gWR9Em4R48er7766qBBg/zdtJjN5oULFwozvFiRkZGRkZERQwWihuO48vLy0tJSYVosRGBM\nTU1tPo5wxIlr/eNaeXHit0f4kzAVlBgFietS4B7RfEiMUkA8FETSit0333xTVFTUtm3b++67\nb9myZRMnTmRZ9tNPP3W73bt37x4wYEATKJpIxIUjHBHiWv+4Vv5aIGEqKDEKkhiliGsSowoS\noxQQJwWR6sfu66+/njlz5qFDh3xH+vXr9/LLL992223IdEtY4sMRTmjiWv+4Vv5aIGEqKDEK\nkhiliGsSowoSoxQQJwWRGit20KBBBw8evHTp0qFDhw4dOmQ2m/ft24dnddFx4sSJ0aNH+zcL\nAEhOTh43btyxY8dipZV04lr/uFb+WiBhKigxCpIYpYhrEqMKEqMUECcFicztSlZWVlZWFiJV\nrh3iwhGOCHGtf1wrfy2QMBWUGAVJjFLENYlRBYlRCoiTgoit2BVIo8l0TRjiwhGOCHGtf1wr\nfy2QMBWUGAVJjFLENYlRBYlRCoiTgojtsbvlllukiNizZ498+lwTxIUjHBHiWv+4Vv5aIGEq\nKDEKkhiliGsSowoSoxQQJwWRajyBkZ1m7ggnLHGtf1wrfy2QMBWUGAVJjFLENYlRBYlRCmj2\nBYngk/ClS5cE+wmFQpGdnd2rV6/s7Gx0miU2zd8RjjhxrX9cK38tkDAVlBgFSYxSxDWJUQWJ\nUQqIh4JIWrGrr6+fPHnyp59+yjDMH1cSxP/93/+tXr3aYDCg1DABiQtHOCLEtf5xrfy1QMJU\nUGIUJDFKEdckRhUkRikgTgoiaWI3YcKEDRs2jB07duDAgenp6QzDXLp06YsvvtiyZcuUKVPe\nfPPNJlA0kYgLRzgixLX+ca38tUDCVFBiFCQxShHXJEYVJEYpIF4KwksgNTX13XffbXj873//\ne3p6uhQJGH9GjhxZUVHR8Hhpaeno0aObXp9IiWv941r5a4GEqaDEKEhilCKuSYwqSIxS8HFS\nEEkOil0u11133dXw+N133+12u+WeaiY+ceEIR4S41j+ulb8WSJgKSoyCJEYp4prEqILEKAXE\nSUEkTey6det29uzZhsdLSkr69Okjt0qJT1w4whEhrvWPa+WvBRKmghKjIIlRirgmMaogMUoB\ncVIQSXvsvv766+Li4qVLlw4YMECw+2BZdvv27bNmzXrvvfd69+6NXs+EIi4c4YgQ1/rHtfLX\nAglTQYlRkMQoRVyTGFWQGKWAOCmIpIld//79z5w5U1NTYzAYBBcnlZWVbre7ZcuWBoPBX0JJ\nSQlCZROLZu4IJyxxrX9cK38tkDAVlBgFSYxSxDWJUQWJUQpo9gWR9EmYoqgOHTp06tTJd6RF\nixbIVLomcLvdNputb9++SqXS4XB8++23tbW1N9xwQ05OTqxVk4TL5crIyMjIyLBarQcOHCgt\nLaUoql+/fhqNJtaqScLpdLpcLrfbTZIkAKhUqlhrhLkKoXU5HI4ff/zx7Nmzbre7f//+8dK6\nfDR/f1cSSYzqiGsSoAoSpjtAs68OHHkiBhw/fnzhwoUul6tly5YLFy6cPXu23W4nSdLj8cyd\nO7dHjx6xVjAM+/btW7du3Zo1a4SCkCSZmppaXV2t1+sXL16cl5cXawXFsFqtL7300tGjR4Up\nXVZWVk1NDc/zd99996RJk5rP7tdrlkceeWTVqlVpaWnl5eXFxcVerzczM7O6utpkMr344otZ\nWVmxVlAqceHvKiwJUx3xS2JUQWJ0B4iT6ohsGLPb7SzLBhxMSUmRT59rgvXr1/fv3/+hhx7a\nvHnza6+91q5du1mzZhEEsWbNmg0bNjT/id369esFK+m1a9feeeed48ePJ0mSoqjVq1evWLHi\nxRdfjLWCYrz55pskSf773/9OTU3duHGjUql86KGHDh48uGbNGrVaPXHixFgreK3j8Xg4jgOA\nd955p2PHjrNmzdJqtW63+/XXX1+zZs2cOXNiraBUVq1a1bZt25deeqmhv6tVq1Y1F39X4UiY\n6ohfEqMKEqM7QJxUhySr2LNnzw4ZMiQpKclkMqU2ALWKice5c+dGjBiRl5c3duzYo0ePDhky\nRKFQEAQxdOjQCxcuxFq78FRUVNx+++0AcPHixREjRghLX2q1euTIkSdPnoyxcuE4ePDg5MmT\nMzIySJIcMWLE1q1bCYLo16/frFmzdu/eHWvtMH9w5syZkSNHarVaANDpdGPHjv3tt99irVQE\nnDhxYvTo0f7DGAAkJyePGzfu2LFjsdIqauK9OhKAuK6CBOsO0LyrQ9KK3aOPPnro0KFhw4a1\naNFCGMUxjURY+DQajUql0rfk6fV6hVeBZk5aWtrFixczMjJatGgh7JMQjpeVlQX022aISqVS\nKC6/z/A873a7vV6vXq9PS0sL6p0IEyuSkpJ8NQUASqUyvj6Ux4W/K+nEe3UkAHFdBQnWHaB5\nV4ckPfbv379jx46bb74ZtTbXCF27dv3www+nTJmi0+k+/vhjoXF4PJ4PPvigW7dusdYuPMOG\nDVu2bNm4ceOGDRu2YsWKRx55xGAwlJSUbNq0afDgwbHWLgxdunR55513pkyZolar33///ezs\nbL1eb7FY3nrrrc6dO8daOwwAwE8//ZSTk9OhQ4f//e9/06dPBwCapjdu3Ohvv9X8EfxdTZ48\nuW3btsL2cJ7nT58+vXr16ubj70oKiVEdcU0CVEHCdAeIh+qQNLEzGAxt2rRBrMk1xIQJE+bM\nmbN9+/Zhw4b5pvzTpk3zer3/+Mc/YqubFIYMGaLVajdt2lRVVQUAR44cAQCj0Xj//fePGDEi\n1tqFYcKECQsWLJgwYQIAJCcnC3s7jh49Wl1dPWvWrFhrh4E2bdp88skndrvd6/X6FrNXr159\n6NChBQsWxFa3iJgyZcqyZcuefvrphv6uJk+eHGvtpJIw1RG/JEYVJEZ3gDipDklWsc8880xK\nSkoz2RWYGDAM43Q6BeMggUOHDnXs2LH5f8r0p66urq6uDgDS0tLS0tL816WbMxRFnTt3jmGY\n9u3bCzskWJbFewyaGzRNu1wuoY9cuHAhLS3NaDTGWqmIaeb+rqSTGNUR1yRAFSRMd4DmXR2S\nJnYURd13332Cp5b09PSAs8XFxWh0w2AwmETD4/Hs2LHjgQceiLUijSIxSoGJOQnTkJpVQSRN\n7JYsWSJijYw94WEwGIxEamtrJ06cuHXr1lgr0igSoxSYmJMwDalZFUTSHrs33nhj+PDhTz/9\ndE5ODv5ihcFgMBgMBtM8kTSxM5vNb7zxRm5uLmptMBgMJjEYNmxYrFWQgcQoBSbmJExDiouC\nSJrYde3ataamBk/sMBgMRiIdOnTIz8+/6aabAo7b7fbly5fHRKUoSIxSYGJOwjSkuCiIpInd\nP//5zxkzZixdurT5R7vCYDCY5sDTTz/97LPPjh49OjMz0/94bW1trFSKgsQoBSbmJExDiouC\nSPJP8eyzz548ebJnz55Go7FNAxBriMFgMPFHXl7epEmTjh49GnCcJMlmEilcColRCkzMSZiG\nFBcFkWQVO3DgQLVaHerszp07ZVUJg8FgMBgMBhMNkiZ2oXA4HJWVlR07dpRRIQwGg8FgMBhM\ndDQqVMC+ffsabiHEYDAYDAaDwcQEScYTAPD5559v3Ljx4sWLHMcJR1iWPXbsmEajQaYbBoPB\nYDAYDCYCJE3sNm3aNGrUKKVSmZOTU1ZWlpubazabPR5PYWHhM888g1pFDAaDwWAwGIwUJH2K\nffXVV++55x6z2VxaWkqS5Pbt2+12+xtvvMHz/K233opaRQwGg8FgMBiMFCRN7E6ePDl16lSj\n0Sj8yfO8Uql86qmnevXqJRJDFoPBYDAYDAbTlEia2NE07QsRazAY6uvrhd/Dhw//9NNPUamG\nwWAwGAwGg4kESRO7Ll26rFu3jqIoAGjZsuX27duF42az2Wq1ItQOg8FgMBgMBiMZScYTM2bM\n+POf/2yxWHbu3PmnP/3phRdeqK6uzs/PX7NmTc+ePVGriMFgMBgMBoORgqSJ3ZgxY5RK5fnz\n5wGguLj4p59+euuttwCgZcuWy5YtQ6ofBoPBYDAYDEYiUUaeOH36NE3THTp0UKlUsuuEwWAw\nGAwGg4kCqQ6KXS6X1Wpt0aIFALjd7j179tTV1T344IPt2rVDqR4AgM1mGzVqFOpcMJhmxfjx\n4x9++OGgp3bu3Ll06dIm1geDiS0rV65s3bp10FNz5sw5dOhQE+uDwcSQjIyMd999N9RZSRO7\nkpKS22677emnny4uLmYYZuDAgQcOHACARYsW7d69+/rrr5dN2WCwLKvT6V544QWkuWAwzYed\nO3fa7fZQZ51O5y233DJ8+PCmVAmDiSEvvfQSTdOhzprN5mnTprVt27YpVcJgYgXDMDNnzhRJ\nIMkq9rnnnsvOzhbWDzZt2nTgwIGVK1eePn26W7dueL6FwWAwGAwG00yQNLHbs2dPcXFx+/bt\nAeCTTz7p3r37448/3r59+yeffHLfvn2INcRgMBgMBoPBSELSxK6+vl7YXcey7DfffHPvvfcK\nxzMzMy9duoRQOwwGg8FgMBiMZCRN7LKzs8+ePQsAu3btslgs99xzj3C8tLQ0PT0doXYYDAaD\nwWAwGMlIMp6466675syZc/r06Y0bN7Zv337gwIEAUF1dvWzZsgEDBiDWEIPBYDAYDAYjCUkT\nu0WLFh07dmzJkiUZGRmfffaZEDd22rRpFy5cWL9+PWINMRgMBoPBYDCSkPQptkWLFnv37rVa\nrRUVFTfddJNw8Jlnnjlx4kSPHj1Qqof5A5ZlCwsLf/75Z/EEv/zyS8DxqqqqwsLCc+fOiQiX\nkkYKoeQE1S2Uwo3Ed6PC3jEMpikpKiras2dPwEFfL8DNFXONgB/RqJE0sRMwmUz+cSb69OmT\nnZ2NQKXE4bHHHissLDx9+rT/QZZlhw8fXlhYyLKsvNkpFIp//vOfnTt3llesLPjrdujQoRMn\nTkDzVhgTpzz22GN33313eXm5/8GJEydu3bo1OoG+5ooI3AswMSRsf3nsscf8A4eWl5cPHz58\n5cqVTaolJkIimNhhoiA1NXXbtm3+R/bv388wDIq8CILo2bNnUlISCuGNxF+3Dz/8UBgpm7PC\nmPhFq9W++uqrcknzNVdE4F6AiS3S+0tlZeXTTz99xx13PPHEE6i1wjQGPLFDS9++fXfu3Ok/\nk9u2bZsvVsfUqVP9Y0MdP378jjvuqKqqMpvNCxcuHD58+ODBg6dPn37y5MkAsWazedGiRcOH\nD7/nnnumTp169OhRuPrL5unTpx9//PHBgwdPnDjx2LFjQXULlSZo7hzHFRYWfv3117NmzRo/\nfvzIkSO3b98uIkdQ5vPPPx81atRLL73k0+3pp5/et2/fihUrHnvsMX+Fa2pqnn/++cGDBw8f\nPnzp0qUejydA26AJwt4ozDXIww8/fObMmS+//DLo2aBtxu12FxYWHj58WEhTXl5eWFhYXl7e\nsLn6mjSE6IYURRUWFv7vf/+bPn36yJEjR44c+cMPP/hyt9lss2bNuuuuu4YPH75jxw5AtiEB\ng5GIeH/xUV1dPWPGjFtvvfXJJ58MmgA/opsPeGKHloKCAoPB8OOPPwp/OhyOffv23XHHHcKf\n9913365duyiKEv7cvXt3z549c3Jy5syZAwBvv/325s2br7vuuuLiYq/X6y92zpw5drt97dq1\nmzdv7tq1a3FxsdVq9Z3lOO75559v1arVp59++uKLL3722WcNFRNJEzR3hUJBkuSHH344e/bs\nd955Z+zYsf/85z89Hk8oOSRJkiT52WefLViw4KmnnvIJX7p0aVZW1tSpU1evXu2vz9y5c0mS\n3LBhwxtvvHHkyJGAs6EShL1RmGuQpKSkxx9/fOXKlRaLpeHZiNqMf3Nt2KSDdkPBtmzLli1z\n587dtGnTuHHj5s2b59Pkv//979ixYzdv3nzvvfcuXbrU7XYjuQUYjGTE+4uA2WyeMWPGjTfe\n6P8wDwA/opsPeGKHnMGDB/u+xu7atatHjx4ZGRnCn4WFhRzHff/99wDA8/w333wzePDgkydP\n/v7771OnTjWZTBqNZsKECTRN+6aGAHDq1Knff//9ySefTE1N1Wq1jz76KMuy/iFAfv/996qq\nqnHjxmm12uzs7IceeqihVqHSiOd+1113paamAkDv3r09Hk9lZaV4XrfcckunTp30er34LTp9\n+nRJScnkyZPT0tLy8vJmz5594403hk0Q9kZhrk14nh88eHDHjh1XrFgRcKrxbcbXpMW74d13\n352WlgYAd911l1ar3bt3r3C8qKioe/fuer1+8ODBHo+nqqpKjhJjMNEj0l8E6uvrZ8yYYbVa\n//KXv4QSgh/RzQpJ7k4wjWHw4MHvvfee2WxOS0vbtm3biBEjfKe0Wu0dd9yxbdu2QYMG/fbb\nby6Xa+DAgUK7DwjxXlFR4ftdWVmpUChatWol/KnRaHJycvxDgFRXVxME4TNtycvLa6hVqDRl\nZWUiuWdlZQk/1Go1AFAUJZ5X0KwbUlFRQRBETk6O8GfHjh07duwYNsGuXbtEVMVc4/ztb3+b\nOHHivn37/F8SxJu3FHxNWrwb5ubmCj9IkkxPT6+urg64XKvVAoBvtR6DiS1B+4vA999/P378\n+O+//37BggUvvviisCYdAH5ENyvwxA456enpffr02bFjx80331xeXj5gwAD/fQb33Xffk08+\nWVdXt3v37sLCQq1Wq9FoAGD79u3C5MmHiBUtx3E0Tfv+FH4TBOE72/CSUGlC5S7gSy8xL38z\nahF4nvf9Lz1BFDcKc+3xtTyfAAAgAElEQVSQl5c3duzYpUuXvv32276DodpMwCdRkaYo0qT9\nu6H/tlqWZRWKy99GfD8wmGZF0P4icO+9944ZM2bw4MGPPfbY0qVLn3nmmYaX40d0swI/ZZqC\ne++9d9euXV999dWdd96pVF41mS4oKGjTps1XX3317bffCrHahHd6fycpAa84eXl5HMedP39e\n+NPj8Vy6dCk/P9+XIDMzk+d53+LBhQsXGqoUKk3Y3CXKiYj8/Hye5y9evCj8WVJS8umnn4ZN\nEKmqmGuNkSNH6vX6devW+TpdqDajVqsJgvDt/qmsrAwrXLwb+vxHUBRVW1vrW+rGYJotDfuL\ngLBEl56evnjx4p07d37wwQcNr8WP6GYFntg1Bf3796+rq/vqq68GDx7c8Oy99977/vvvGwyG\n7t27A0CbNm2uv/76lStXXrp0iWXZrVu3Pvroo3V1db707du379at2+rVq202m9vtXrVqlV6v\n94/t1rVrV5PJ9O677zocjrKyss2bNzfMNFSasLlLlCOCVqstLy93OBz+JerSpcubb75ZWVlZ\nVlb22muv+cZLkQSRqoq51iBJctasWZs3b66pqRGOhGozJEnm5uYePHgQADwej/97RcPmKiDe\nDb/66qtz585RFLVx40aWZfv3798kJcZgoqdhfwmgc+fOxcXF69at++abbwJO4Ud0swJP7JoC\nkiTvuuuu5OTk9u3bNzx79913e71e/znfnDlzMjMzH3300QceeGDHjh1LlixJT0/3v+T5559X\nKpXjx48fNWpUVVXVG2+8YTAYfGc1Gs2SJUvOnTs3fPjwuXPnjhkzBoItkodKEzZ3iXJCcf/9\n92/ZsmXixIn+B1944QW1Wj1x4sSnnnqqS5cujz/+eMBVQRNEpCrmGqSgoGDYsGH19fW+I6Ha\nzPTp0/fs2TN69OiZM2cOHToUrnwwCtpcBUS64bBhw15//fX777//yy+/XLRoUXJyclOUFoNp\nHA37SwC333772LFjX3zxxYZetPAjuvlAiI/BzQGLxfKXv/zlhRdeiLUiqDh37tyUKVM2btwo\nmNFhMDt37tRqtUEnEwCwZcuW48ePB2xJxjQTWJYtKip66aWX+vXrF2tdEoeXXnpp9uzZHTp0\nCHr2iSeeGDp0aNu2bZtYKwwmJjAMM3PmzM8//zxUAmw8EUtYlq2pqXn55ZcfeOABPKvDYDAY\nDAbTSPCn2Fiyfv36CRMmtG7detKkSbHWBYPBYDAYTNyDV+xiyfjx48ePHx9rLTAYjGyQJLl7\n9+5Ya4HBYK5d8IodBoPBYDAYTIKAJ3YYDAaDwWAwCQKe2GEwGAwGg8EkCHhih8FgMBgMBpMg\nxMx4oqys7O233z5x4gTDMG3btv3zn//ctWvXUIkrKyufe+65plQPg4khdrv9kUceEUnw9ddf\nC2ESMJhrAV/QwlCsXLkyaHhrDOYaJDYTO57nFy5c2KNHjzVr1pAk+fHHH8+fP3/dunVGozFo\neq1W6/F4RKRxHKdQKBqGqG+MhhAs5n1jBKJQkud5ecOKsyxLEIQ8MjkavHapiUkVqIPXfhDB\nHAdyx1MXakdegTzPC2EWoyAgXKM/QgUF7RFhmpm9ElivVA2MLYDUBAgHWTuFv2TZe4cPjuMI\ngkAkuTFVHFa4vA3SX3LcqS0+aTOZTBcuXBAeCzzPUx4GpPndJwhQ61SN1A1dTQn9AlFNoevO\nIO840oA47Rry3nCTySRyNjYTO5vNVlVVNWPGDL1eDwD33nvvf/7zn8rKylATu5ycnA0bNoSS\n5nK5XC6XyWSS8Y3N7XYDgE6nk0sgRVE2m02v1wtFlgWapj0eT6ibFgUcx5nNZrVaLd5oJMKX\nbOSr9klODYobnwW9pFjpZrOZIIjU1NTolWuAxWJJSUmR8TFns9koikpPT49C5scff2yz2UKd\n5Xn+oYcemjx5csNTHo/H4XAkJSVptdrAc+U/w1s3RqDETUVwz1L/Ay6XS6FQBJHcaIQunJyc\nrFI1dpRtiMPh0Gg0KCTb7Xav15uamopiJLBarUlJSYgk0zQdXcsMi+z9SGDatGkiZymKeu21\n1woKCgCg8nRd2e/V0iV37JufktOoR6jZbEbkXt7hcHg8HkQNzOPx8Dwv4xjnQxhHNBqNjGOT\nP3F6w2WcVNA0/dBDD4kkiM3ELjk5uaCgYNu2bXl5eSqVatu2bdnZ2W3atIlMCs/xtUeg7qja\ncUlFOxSaZN7YksjsCSlB4rFimh6+/lQEqQng608R0iZ2mOA4a8hfN5hOb1c5ywE4MOZCm0Lo\nPgJS2wEAnP8mMmnnsTM2TPxhr3VGlN5W52rkxA6DaW7EbI9dcXHx3LlzR48eDQCpqalz5871\nX29bvHjx119/Lfw2Go1arbaurs7/cqXjvL7iC9JbBz4DEK+Zt53jy7+jDa3d+UNYdaNm9MKq\nqcvlaoyQhrhcLmHaLhc8z1MUJaNAAKAoKuBuRwWfSlkjusBdX+nWSMqX53mCIORQ8iqZZrNZ\nXoEAEJ1Mp9NJ03SoswzDuN3uq4rP87pDK3T7X1NRjj8OVh+DM1/BN/M93ce5BszXV5+JaKmN\nt5aar77DQomczsgGTumILFI2Bp7nvV7JH6AjlAwAIhHTGykcnWSItmVKEY5CMk3TwpfWoDAM\nY7VahR7hdnp5AOkLhg6rq5FPEp7n5X0WBYC0Gcg+xvmQaRwJAr7h4t0BYjWxYxhm4cKFBQUF\nixcvVqlUX3zxxbx585YvX+77uKbT6XyruAaDIeCbusp8SF/+BXBMUOEq5wXlmX+72oxiDC2j\n1hDFHjthOiLj5gBByWa7x47nI7t9hIKUmC/LshAne+yikxl2T9hVdcSxhh2T1Sc/DZ6UpbSH\n31JW/cJmXx+hEoHVgXSPney7RX2g3mMXpxuJ4k5tcXw9giAimNUJ6RupMNKaArkfdD5Q77ED\nZJoj3dSIrmvIeMPDahibid3WrVvPnj179uzZHTt2+A6uXr26uLhY+D1jxowZM2YIvy0Wy9Sp\nU31zPt5ykg89qxMgGLfhwoeKG/4G2ii3YSHaY6fT6Zr/HjuVSiXLHjtOmwruGunptcm5Omnb\n5uJoj110MvV6PcOEbOFKpVKr1f5R/O1/g1CzOt8llw4q2cjeFImU1gF3GPUeu6SkpHjcY2cy\nmeJxjx2KnXCAbI+dSqUSGcyUSqXJZBKaa43B7nWKjQ4BGFMMjXySmM1meZ9FPoQtX4gaGOo9\ndmq1Gt0eu3i84fLusROf28VmYpefnw8A//rXv4RCVldXFxcX5+Xlhb+SZ/mTH4nP6i5DO/iz\nW4mu4xqrKyZaiLTOfLn0iR1BpHZCqE2iUvUr7H1dUsraksgkt78zCnUwmFgT2ZzSlGFApAcG\nEyti46C4e/fuqampW7Zs0Wq1JpNp2bJlJEkWFRWFvZCv+U36IhB/6RC4EX6Jx4hD5NwUQeK0\nzlEvr17T/PBKBIlVkleLSRX0Gh+5NhhMLOE53mGOYGWaVJHGDNk+oWAwzYTYrNjp9fqFCxe+\n++67U6ZM8Xq9HMfNmzevRYsW4a+sOxpBNgTwdUeJ/Nui1jP2uGt4VzXQTlAZCEML0CKx8UaF\nMZ/I6ctX7Q+fUqEi2t2PXqGEg2Pg1OcRpKclj3l9Hod0vIAaGsYLFftVl04CRRG5XaDlTaDU\nhL8Kgxi72cUyYpvKA1AokWy+xGBiS8ysYlu3bj137lyO45588snhw4f36tXL/+x333137tw5\n4TfHcRzHCd+nVY7KiNYYGVs5E5UVqohNYnQIm0lpmpZkFcvzirrDZMU3Ctcl34cFHgjOkMvm\n3cGldvXJZFlWRjNbYXennDLzh6js5QpnhXgqus0DHJkGkjMV9JTdvtjtdsv4lBdqXMSxtgji\nRk8cxwmGsYStTOuJzPSY7TmRPPxv8TRcywHeWxc2rA6GYQiCEG6+vAgbCr1er8jOwqhhWVZG\nyYSjUvnDC8rfPwSvXQtweb+hxsgUPMwMeJY35sqSCwBwHOfxeFDs4xaalryt3Yfs/UiAZVnx\nHuH1et1ut90Smck27WaOf38us11KUlr0O0eFIkd9uQi+foGiphiGQdGXAcU40kA+Ism+hzaK\nfifjpIKmafG6i9nETuCHH37weDyFhYUBx3fs2LFt2zbhd3JyckZGhuBkIZmKbAM467E3xjuD\n7J5EaJoOW7sE600q/UTlOAMQsF2EVzjLFSfXU8ndnPn388TlupN9LGRZVkaXFkSr0UnlW1S2\nk0HP8gq1M/8BSl8AEebI87zsfjdQWP5Hp6TX6xUeMUFhWZaiKKfTqayv0kbk2gHAldWHKLre\n8M0sggn+ZPR2Gu64YynvoQGCN1RErkMg2kmwFOR6pKov7jZun0R4G7hl8dqVh/9N/v6R/e41\nVOvwW0okgmj0EkDn5wKFZJHuAADCm7/T6XS7Im5CznqP82CVKUeX1sYQ9fwJnQ8gQFlTgGCM\n88EwDIr3NAGkNxxpv5Plhjf3id3u3btvvvnmhhYoI0eOvP3224XfFEW9//77gn2NQmsEOgIf\nM0p9SnSGOcLdlzGUhbDEolarNRrRTzYcQx5fr3BcEEmith5TKVim8ziW4ymKktGsied5h8Oh\nVCpllZnkVI1MokrJqh8I2xngLj+geXUyn9GTy71dozJE+hHL4XAQBGEwyLnr2el06vV6Gd+M\n3W43wzBJSUlRyNRqtSLPRJIkBa/uBNEqwp3ioE1vxbUtogvuI/e+ojjxKeGounxCqeXaFLL9\n/gqtb08Kca3X61UoFCjMSymK8nq9er0ekfWfSqVqvGTF+d2qL/4MTMh5LUHZTV+Op4d/zLWT\nwe7E5XJptVoUKwcul4tl2ehaZlhk70cCSqVSRKZCodDr9UajkU4CC0Qz5Nuq3CSpbNktM4pr\nhVgvUVwYFo/HQ9O0wWBAtIDE8zyKALvCOKJSqVBY0EPc3nAZJxU0TYt3sVhO7DZv3nzgwAGS\nJH/77bexY8f27dvXd6p79+7du3cXflsslg0bNgjzId7YkreXSs+CTG6tFJ9IhUBY9g8zCYsE\ngiDcbrdSqRSXyZ/ZxtvFZnWXpVlK1NU/Mi0Gsiwro5I+t0kyyhSWzdU5PSGnJ7AUeC3AUqA2\ngcYUqf2aD6fTSRCEjEoCgMvl0mg0Mg5IwspWdDKVSqXIk0WhUAhzO1C3BGMLsFdKlUsoVPk3\ngEYDmrZw/0oYsgJs5eCoAo0RUtoolFrxhxnLsvK2DX/JAKBSqVDMGmmalkGy2wxbxojM6i7D\neFVbx8JTJ0Gf0ajsADwej1qtRjTTFZ4bKCZ2svcjAfE4wgqFQnhnNqVxABG4WPLHUm5PzTKm\n5ydHeqHT6UTRKeDKFx5EzUDw2YZCcxTjiD9xesNlnFSEDasdG6tYAPj6668//PBDAHjhhReK\nioreeustSQvOGT0iyENBEundo1UwFnjr+fLvJablL+6EEF/Tmi+kGvTZYGwJmuSoZ3WYPyAU\nUPBgBOlbDYCknKsuT24JeX0howCUSN6tE4cfXgZXnaTQ8m4L7FmCXB9MMAypOrUu+hl8WUkN\nzyHZdobBNCUxm9j95z//ueWWWwiC6Nix49ChQ9esWSPFcy+R1hlMrSVmQbQYAGokC7aI4Gt+\nleSiT4BxE5bjKNXBxAMDZkVgj3nbXJSqJC48D79tAJD8MnLkA+AjsM3EyEhux+jXSik3bY/E\nWwoG0zyJzafYurq6qqqqgoKCkpKSUaNGtW7detKkSQUFBRIuJRSdR3EHlwIb7puIPptoe68c\nykrAXcdfOsBbToDXCsCDJoVI7Uhk9wFdhDs26s9ElJywngVjt8iywCQYKa3hrlfhi6fCp+zz\nGLSTbV9/LLGVw2/r4fR2sJUC44XkltD6NugxGrKQLc9bzoCtLBINK6HuJGRIeaBhZCajVYql\nym6tdoRPGgx7nQu7LMbEOzGb2AHAzp07Z82alZycvGnTpgULFqxatSo5+fL+hjlz5gRYxdbW\n1l65Wqls+bCx9L8EG/JDJKtJd+Q/zNY7AKLs3gLhTW84Vn9pl9ZywGcTAADgMfPWs/yFnd60\n6105RT7zVbgSOimUMJOzLqL6YJx1Xq9XditFiqL87rY8yC4QhUwUgaWjk+lwOEQMOWmadrlc\nfxS/3Uh93wv6/a+KCPR2fNDedx7Iccccjkb1KRGs1nCuWzhWv/9V3aEVBONn/Ggrg9K9sGeJ\nt8tIx60v8sEW6Rtpb6uqKIls4xUB1tLjNDR2m53FYmmkBBHQhVFHIZmiKBF3JwzD1NfX+3pE\nSmst5fW6rdGYQl86ZyaTeKUmsm9ZKJ5vPpA2A3TmpSjGJh/X+A0X94cFsTWeGDFihBBbbOLE\nibt37z5w4MCgQYOEU7m5uV26dBF+a7Vau92uVPqpmtLBqfuLtnybsqETDYKk0nt7WwwiSG1j\nyiYl+jLB0brzG5WO88FP86ym7gDprnJ3GMsr1DzPC3vPxWQqItuwSZBKgiDk3eYp+CqTVybL\nstegkizL8jx/VbuVDEmSIntjhXjn/pKpAc/xuX103z+vMJ8KSMwbstw3FlPXjVc2ej87upDk\ngq9K8VIDSxu2TVCd/TLUec3vm5TVhx3Dt/D6q1bKOY4jiEb5oSXVEW9AJNVaPqqq9yE8LlDY\nNzSmZUoRjmLjufh9EJ4Gf5RICXnd0y3lTkupg2Mj2zPH0lzFEUte9zRNktS9egzDILqZQr9A\nJxzQdGcAYBgmzGDXOOHX+A0P64AQ+cTObDb/+9//Pnz4MEVR7dq1mzBhQqdOndLS0gBg48aN\nr7zyCsMwbdu2NRgM/tPkJ5544oknnhB+WyyWqVOnpqSkXC04BbKfANclvvYoYyvnKKdSn6ow\ntSQyrtOqTY3fBy4lXi9//F0+1KzuCkpXmaliK9F9EkVRNptNq9WKbCXkDZm8MxKbX32mvIGW\nheDNKpXKZDLJJZPn+fr6+gbV1yjMZjNBEPLKtFgsycnJMo6jNpuNoqjoZOp0OpEVO6VSqdVq\nA4t//Qjo+RB16iv25JdqdxUJLJhaQpvbiPZ361U6WaImuVwuhUKBwoWBsJKdlJQkZrv6xVQI\nPasTIOt+T97+KIzb7f+O5HA4NBpNo6xiya6RXpGU3x2SG9U+rVZrUlISikmS1WqlaVre1u5D\n9n4koFKpREZEkiSNRmNAj0hNS2UL2ON7Lngcka0bsTRX9Xt914FtVRpJ46PZbJb3WeRDiElv\nNBoRGUfzPC+jZysfvnFExrHJnzi94VImFRKhaVp8goh8YvePf/xDrVYvWLBAp9N98MEHCxcu\nXLt2bWpqqkKh4DhuzZo1JEn+5z//+fjjj6OZTOiziVbZtMvlcrlMJhOJwCVPKHhzCV99SFLK\n2qNQewRMncMnTSuA6oMg2eUsl4KDPmH8UJBc69ud6X2IpCQSjQepmFFxAH7+l6SUF76HX9+G\n3pPkzN2YC9nXwaUjUtNndoHkVnIqgIkKUkVm5JvKSiJ2gEJ5mPITtW165IRPisE0P9Baxdrt\n9szMzCeffLJdu3YtWrQYO3aszWYrLS11OBwcx5WWlp48edJut1dXVwNAbq5s0XiagtJd0tPy\n0hITGT1AZZBqeadNBzyxw1wj/PhaBIl/eEV+BW6YjCoxBiXpLZMVZDTLh7Wl9QwtFu4Cg2m2\noF2xMxqNs2fP9v1ZV1enUCgyMjKSk5MLCgrcbvdrr73mdDpTU1PT09M7dYqfaQrj4SOyYLWe\nJ+wX1dZy0s7w+mRCnw3G/CDrckot0fY+/uSHUkQS7YeCggwV9wmDkYHaEqg8BO460KZAZldJ\nq84o4Bg4HeYj7FXUnYTaE5Ahq7Y3TIYDq6D6WPgF9cwu0OdxObPGNAK1VpXdLq3yVMT2HDzH\nW6sd6XkR+yvGYGJO0xlP2O325cuXDxs2LDU1FQCKi4vnzp0r2MExDDN37lz/UBs7duw4ceKE\n70+O40RsSYTdSEIwELm0FQI6hTI8UbgqNTwr/ZspAE8eWZEEwPv+qU1Mzq1M5o2BBhPJPdWZ\nZ8maA2HUa3EbrW/PeTwMw8ho1iRsyZRXJoSrvigQ9JRdSXljMgrRFKKTSVGUSHBMjuNomg5a\nfF/UcPHYmmHgeeWJ/6p+XKKoK/E/rDXmefv81Xn9JCBl3vMgqO3xeIIGUiTsFXpPOIPZq/GU\nH2Z1+cJvIXRS40M0KoZu1G64g3CJmePxunTP0I2clwFvY6NkCjHUERlPwJXwLbILl70fCbAs\nK2IG6IsVG/Rscp7eWmt3WSJuAHaLU5sSfohEEbdaQOgXiJqB+BjXGBCNI/7yr/Eb3lxixZaV\nlS1atKhXr17jxo0DAIZhFi5cWFBQsHjxYpVK9cUXX8ybN2/58uXCnA8AvvvuuwB3J2Hj8qII\nZhxqpqhy2TQQTegE3xUEZVNd/JyoPeRo+TCnumqHqTv7bh2h19X+cJULlSvwhNKdc4cnvR9c\nuSGyRywWnpLyypRdoBCpTF6ZKGI/RydT3LkDy7I0TYtIFgLjRJEvABCMO+mrJzVnPmt4SmEv\n1+2exZR8ZBv8DqfPik6+CKGcI5C26kiNP2h7jdfv/jRqmutD08Lz0Hbjl+OVNcE32zEZ3eyD\n32G1eSBTQ2qkl5ZYCUfRj8RrkOM4r9crkm9WJ1PV71aPLbJO4XVTEsuCNGw80mYg42pIAMKb\nCSLh1/gNbxYTu8OHD7/88sujRo0aMmSIcOTIkSPnzp1bsmSJYGH30EMPffnll3v27Ln//vuF\nBBMmTHjggQeE3263e/Xq1T4Xdw3xeDxCBHEZA036An0GPUuos+GcZFmhF/aUrorkixu5Hk8F\nBnRKvp/Lv4ko/4YwHwf6stswXm2C9O58XqFGkyKoxTAMRVFSInZI1ZTnbTabUqk0GGRz0Sm8\nXckbs9lutwOAvCZXDofDYDDI+KLmcrlomjaZTNFZxQqvd0ERrGKD9giKotxut06nizLUNMcq\nPxpLnBH77qms3J/62SPMuO9AI9v993q9Ho/HYDAEdzSgahepQF1GG+2V++N2u1UqlTwuDJKv\n4yf9zB7doDj8LlH24+VXLwXJ5/fneozjrxuTFKHHIhGcTqdOp0PhMMLpdDIME13LDIvs/UhA\npVKJyCRJMikpKdQYwfN82clLkc7qAEBv1ImMOz7sdjsi80+3201RlNFoRBSTHlGsWGEcUalU\nMo5N/sTpDRefVEQETdPiXQz5xO6nn356+eWXNRrN+vXrf/jhB8HdiRB+eNu2bZ9//nldXV1e\nXl7ABLx9+/bt27cXflssFoIgRCZtwhRYqVTKOLEThtWQAskcTqmTGqpV9BFHuKuVF7YSBaMD\nT6hywfR/ADxQdmDcoDQEDY/GMIyMpfY52pFRpvBiIXtwd/EmER3ig0ekCKKik0mSpMiTRfBj\nF7T4wsIGSZJR3pwflkrZzUbUHFPtmgUPrI0mi2CE6cKmHEhuBdaLUsURCmXLvnBFlNfrlfXh\noIIbHoUbHgXG46w8SVGUKa+A1CaRAPI6SCAIQqlUovMJJ29r9weFZHFPhMK9ClXFznq3+UI0\nX+5MaQaJzUb2Z5GAMBVA1AwEd4YoNEcxjgQQjzc8zKQiQsS7GFqrWIqiXnnlldTU1JkzZ86b\nN89oNM6fP7++vr6goMBgMGzYsGHs2LHLly/PyspyOp3dusVPdCwFSWTIFr+Ir9oPzqoQJwlQ\nm0CfHV9BbzFxidcG378oNfHh96D2RPhkskAQ0PWhCNK3HggG+b8UB6LUcilt2eQ2oJLfExhG\nRspP1vIcDwARuSpWqkkcWwwTp6Bdsfvll19omq6pqZk/f77v4ObNm8ePH6/T6YxG4+rVq1mW\nbdWq1T/+8Y927SL+4BJDiFZ38ZcOAi+PPTxffbDpIttiMEE59QV46qWaBLE0HN0Et89DrpXA\nzc/AL6uBkrbucvt8tMpg4geWZm01l5tNRKuILTpkEAokK5oYDGrQTuz69++/detW358lJSXF\nxcVDhw6tq6urra0dM2bM5s2bKysrWZYNWJ90u92+PYZCbEqRrYLCKeHzrrz6iwnUZUDb++Ds\n1pAJIsqo7Bu+/DsgNaBNh7QuRM5NUpbofAWXRQd/UbLLlL1qUMhsPkqKN2b+CqGyi64vEBf3\nAEQy+l3cI+8dC1S7/jz8+g5xZjvUXwDWC5pkSRO7m/7Ktx4IVyuG4uHQBMJRqx13ksUzDZqv\n3eIWlusiIilNRyj4k/tK3XYvy7BKFak3aZNzktJzTUFne0iLHHfNAMU4EioLRMKbueaxDynm\nw9/dycmTJwFg586ds2bNSk5O3rRp04IFC1atWuXbqbp48eIAq9iwgaWFDfXyEsamWt9Dl2nW\n1eyRISeWAgBgPOC1gvUsd+Erd/btnvR+Ui6VPdAyRVGyh/FGERdcdplms1legVHLFLa3hzrL\nMIzb7RYpvtPpjMIdgKnuQkQGF2z9RYusVWCz2S7/4lj9viW6X1cSrL+pe/jI3J6uox29i6GB\nVkjN3Orr6+NOMqBp7egki9uJMwxjtVqD9ghHXcSPR5WOdDu8F4/6WVXTnNdFW6psZSXVme2N\nWlPgNikUzzcfSJsBIr8hAOD1emUfm3xc4zecpmlxtymxcXciMGLEiPz8fACYOHHi7t27Dxw4\nMGjQIOFU+/bt+/W7PK1Rq9VVVVUiWw4FF0fi+80jRWK8Xib/TpextbZih8ITcdQaEQiO0lfu\nUFG1nlYPiCyh8DwvFFzGrAVzG3mjINM0Le9eV2HS08yVFJpldDJJkhTfKh7KPILjOCEKexR9\ngVBFGIVMqZXrjglqK5VKgiCAY/RfTFCFCwsbKMGY7xnwPN1lREOFWJZVKBSIHFPxPH9ZbQTC\nxZtBYyQj2jUPCPqRgHh7FjGeIJUROxSk3aE22BCMh6363ZrTOcWY+cfGSkRFhsY9Q8IiY0z6\nhgjBTFGYIAD6G46oRyO94QEgn9iZzebXXnvt6NGjSqXy4sWLp06d6tSpU1paGgA8//zzvmQE\nQVgsf7yRT5gwYf/b/wMAACAASURBVMKECcJvi8UydepUEbNzIYK4wWCI0sVDMCKI15vcF1r2\nAdt53nISvBbgedCmgtfCV+5rpA6quoPqlHyi5R2hEtA0LUQsbmRGPnzBm6OJ2xsCnufr6+ul\neA2QjtlsJghCXpkWi0VeBxA2m42iqKjdnYi4O1IqlRqNJmjxPR6Pw+HQ6XTaKGLFZnaEkvCp\nfJDpHeSqAl8XVqlU8OVfQXxWJ+wCNGRBp/uA58DUEtrcpmh9m54M/qx3OBwajQbFSGC3271e\nL6KQ4VarNSkpCZHkqB3xhEX2fiSgVCpFRkQRdyckp66SsNYrHZ7jL52sT81MMSRf7mJms1ne\nZ5EPISY9ombg8Xh4npclJn0AvnEEkVMS1DccUY+OYFIRDmHeLJIA+cTuueeeq6qqmjx5cu/e\nvT/44IOFCxeuXbs2LS1NoVDcdNNNkyZNErT861//mp2djVoZVBAEJLclktv+ccR2vvETOwDg\nz28jsm4ADQ5rg0FPh3sisIoV0stO1WHY90aYNMKcwVkNaR3h1tlhEmOubQwpWqWaZCg5o75y\nLH/xaFWXAW1klInByAjaVcG6urq6urp77rnnxhtvVKlUQ4YMsdlsZ86cEb6M/Prrr2VlZQDw\n8ccf63S6vn37IlWmSTG1BmO+DHJYiq/4UQY5GExYWt0C2ddJTazPgG6PyK/DvmWRJeblD4iE\nSSQIgshoKf+LscPsdlgQBj/AYBoD2hW7srIyj8fz+eeff/75576Dx48f79SpE8uyWVlZCxYs\nYFnWZDJNnz49mo9H4rAUX38aPLXA0qA2EqY2gCAOUggIRfsHuV+XN14QX3eUaDu48XIwmDAQ\nCrjrdVh/p6TEd/wDtAgWkk/+L4LEjktQ/jPk3yS/GpgEIq1FUvV5C8dKsEaMIPw31F9yJKVi\nF4aY5gjaiV3Pnj197k7sdntxcXHfvn0ffvhhq9WakpLStm3bqVOnAsDGjRvfeOONN9980xfJ\nasuWLceOHRN+KxQKjuMEpydB8QXu9YWLJWinqnK3svYX4P7YqMQDcPoWVG4Rl9I5rOaCzEaF\nmFRmK1sNUV8MOVBJfIbwrupQZRe2nIvcmUjxBW+WUSYAiFdfFAjm6LIrKa+BmC/UehTXer1e\nkbbHsixFUUGLL1zl9XpFjGpDCKVVh9epf35NSpuke070FowG+e6/oK2n/pLKGZkRkqf8CJMS\nxlW4YEGGwkBPUNvlcqHYrMayLDrJAOBwOBDtEEdhaCnsahfJ1OVyNewRTrOn5pzNbZNU9QqS\nkDT58wm3unyuuOR9FvkQNtqiawY8z8sTRvlqEI0j/vLj8YbLMKm4QrOIFQsNrGKTk5Pfe+89\n39lZs2aNGzfuxx9/vPPOy6sF+/fvD3B3EtZhgS/wudJdkXThQwXj4AGIq2dPClel9vR6b3pf\nZ86dQIT/DB3x6BiAqZe6pdpQ8QXBBlFeYsMhOMbjdoloK3vP5DhOdvcQKPxNJLCS4tbsHMcx\nDCMi2dcXJKLwmI1fjFdV7A2bkifVrr4z3Tf8FRDcK9oRsQsDxmmWcodRjF4+0Pl0QCcZqXAU\n/Ui8BjmOoyjqqnx5sJQ668tdEuXr0zSMh6VcETzwaS/tyxGpPx2kzaCxY1xoWJZF1++u8Rve\nLCZ2hw8ffvnll0eNGjVkyJCgCXQ6XWZmZm1tre/IE088MXr05fCpTqfz9ddfT0lJCSXf4/EI\nEcRVKhXhriZKPgDGAzwQRPDZk6Zuv1qt4tv/SURn2eL1ptzM5/aEyj18zWGFuzoaCSpDSmpa\n0DMMw1AUJWOgZY7jhODNvqXTxsPzvN1ul9HMFq44PJNdptFolPFFzel00jSdnJwchUy9Xi/y\nTFQqlVqtNmiPoCjK5XLp9foILMRpN/nJGKJif5hkpJq+bizT72lNVifZw4YLXVif2QaAiCjy\nky6zrTb0k0HA5XKp1Wp5neP4JAuGzyhcGDgcDr1ej0gywzDRtcywyN6PBMTjz5IkaTQa/XtE\nxYlaKbM6BUkkZyWltzQZ0/VnDlRENLHTG3VCjjabTd5nkQ+kDYyiKJ7nZYlJH4AwjqjVahnH\nJn/i9IbLNqloDlaxP/3008svv6zRaNavX//DDz9MmDChU6dOFy5c+Oyzz6ZMmaJUKr/++utl\ny5ap1eqcnBzfVbm5ubm5ucJvi8Ui7llNKCFJkkqS5E68D4wHIMyCGFH5oyK9q0i8V19U8ogK\nGxxlMrS7j8q/02q16FWcjrdzh1dKv5owtQ6lBs/z8vqcE1aJ5JUpu5ICsssUBMo4IAmiopMp\n7neNIAiFQhG0+MLrYKizwdm1AMLO6gCApQgFSaS1QzFDutyFNXrI6QFVhyVfR5At+0E4fQR/\nWijUFuqIJEkUzhEEb4WIJEO0LVOKcBSSCYII69nRV8W2Wuels5JcnKi1qva984RgEkmpOl/w\nMSkkpep9OaJoXeA3tCGKSS94YZRdMopxJIB4vOEyTirCRp5AaxVLUdQrr7ySmpo6c+bMefPm\nGY3G+fPn19fXp6Wl7d27d8WKFSdPnnz77bcVCoVWq7355psbmR1fcwgcFVITn/s8fCJZ4QmS\nVydDSkfQpkZwWWZPZBphrnnsFfDzvySmVR5+m7BeRKoOdH04gsT5N0JKG1SaYOKW8hKpOzU9\nTqq21Cr8Tm0RwSIQoSBScpA4acNgGg/aid0vv/xC03RNTc38+fOLi4t/+uknh8OxefNmo9G4\naNGiurq6v//9716vV6FQjBkzRoYlyku/RJDYWQnOysbmGAUEQbSW7ABMn0Vk90GpDeba5vdP\nLq9wS4GlyBOfotQG4ManQJ8hNXHhApSqYOISr4t2WNzSP+ibKy4HstObNNLndlmtU9XapgvI\nicFEBNqm2b9/f59VLACUlJQUFxcPHToUANq1a3fvvfdWVVUtX7588uTJARuG3G63b/e3z/Io\nUDrt5Ct+BPMxjbNKy3p5lYGXPkQBAABXf5bQ54gkkDES8FXR2bP7EnXH+NrfwlxDqomCMTwQ\nEEINn0x5lUQhE2mo6WYrMGqZ4lGo+SsEOcV4tcc3qM59DjW/geMSaEyQ0ZnvOAT6PAaGIL5+\niNLwBhNXpS/bizQ8Nq82wrB3iA+Cb8a9in5T+XZ3huoaQSQjVRuN8OYfjLyJJYtnKuRrNwuf\nU6V+C3aYXT6FW3XPcta7KXcYwyONXsUy3G+7zggplWqFLcublm8ypiHZUhZ3zQDFOBIqC0TC\nm7nmYYU03TuH3W5fvnz5sGHDUlNTAcDhcKxaterpp58O6r5u8eLFAVaxAUF/NZZD+qqdBOuF\nKz2YoCO2sXdbq9waMUM82e323W63EFeEyBqcRHlVthOhUvKk1p7/IEPpG0Y0D0B2Ex6KomQP\nsYwiZrPsMlEEL49OptPpFDGeYhjG7XY3LL6qan/SjsdJ24U/DnltUL6fKN/P//iK86bnPD0m\nBVySbCmNKNIWb69AF35bsImBtBs1d76ZtPtpIvR7mqfrGEef58J2jT/So7ShQxcyHGkwchSt\nHZ1kiqJE7MQZhrFarULLtJoj8hvMcxxUX6ohlZc/XmV2TrpUYmM8IU2XFKTC66K9rj+qhvaw\nNRfray7W69M0Ge2TfKLkovnHpA+K1+tFZ16K7ikE8XDDxd0mQKzcnQDAunXrevfu3atXr6Dp\nu3fv7hvYlErl6dOn/T/Uqit2qiq/bbxWpEoX6vuvYJMo4w5KjuNomvbb4auhOozmaverK78h\naPvVaQk2tRuVdxepSRXPnuM4IWKxXEryPE9RlEKhkDewJkVRMobxFQQCgOwy5RUo9L3oNhgo\nlUoRfyWCbUSAZOWZL3X/GxfquypBOZK+m612lHoLl1x1XB2h+bMyZJdpDCzLMgyjVqsvb5Dv\nMdrVoqfm2+eUF3YHpOSS23hvmccUDJeuBMMwCoUChZmbUMV/qC23cET2DUjVlr0fCYhXH0EQ\narVaaJkqdQSOfoRlAa1WqyAv3wqNRqPvo/t/9s48Torq6vunqnrfZ2MGZhjWGYYdRUR9UIlR\nopGI0RBRXJ5MiFFjTB6NZgRUhLgmahRUVBSjqOhroqgIGoyPjxu4AsM+LMPsa+9Lda3vHwVN\nM0t1V8+901Pj/f7Bp+mpPvWr2/fWPX3rnnM6aoP+pogsnbQuQtEUw1AC3+uEGvXGW2Ji6SkF\nBhOaiUMQBFEUMX1TyOe4ZOLxOKaIJcDWx0A/DZ7ybobdsfN6vY888siuXbsMBkNdXV1NTU15\nefn27du//vrrsWPHLly4UJZllmUbGxuTP7VgwYIFCxYor30+380335woJyy3fiOj8OoAwOwZ\nZumlSjHCer0KHMfxPG82m0+KAHf9GEbNlv2HIHgEuBAwZrDmU7kTaLM7HceK53mlYjEqkUrx\nZoPBgNCmLMt+vx9tNWiv10tRFFqbPp/P4XAgHM/BYJDjuMxsWiyWRLbt7jAMYzKZTrr89j3w\n/q9T7pYzffeUqXgaTP/NibcKyuDw5vSFUXljcRT2jkajgiBYrdYTvyicZ8Lo/4D3EBzcDP4j\nIHLgGAojzqGHn2lNIwNlMuFw2Gw2o/2tohAKheLxuN1uxzE7BgIBfJYlScKRlAQwjCMFg8Gg\nMpkxDGOz2ZSeKeVSraBhxcVoMbg9XbfWeXLc4iTR3xZhw3EhLhrMjM1laa/1BjpSpFDhYkLL\nPn/FWSORNEA4HBZFEVM3YFlWlmWEc1wCJR842nkkGa/Xi8ky1gZH6FRkP93JkiVLWlparr/+\n+lNPPfXVV19dvnz5mjVrPvzww1AoVF1drfjdoij+4x//2Lt379KlS1OYE+PyoQ1olFEMlZO6\nBAV2KIbKKYec8mzrIOiZD28HLr1U7FuqYOJ8sBzf0jr2ItimofCdNPonWH7g90buGDj9d/15\nQoLecebZaYaWxHSLCHuGOHp8nzEyecUnHD5fcyilV6cQ9sY6GwI4CtQSCGmC17Hr7Ozs7Oy8\n8MILZ86cCQBz58795JNPDh06tHDhwmHDhs2ePVvZYPeHP/whFAopQRXqyG3fAxdKeVg6UIWn\ngYFU+iPon84aqHk/rSNlgJgXdrwMM39/7J0xF0D+OOjoda/nSZ/2jBLHXIh+4YtAQAfNUPml\n7rYjaeWxA4AhI9NKPtV6RMPGwdbDXuLYEbIIXseuoaGBZdmNGzdu3HgiadyePXvmz59/9dVX\nK/8NhUIcx+Xl5VVUVKS22LkHjTKjnRr102OvQw2y8iSUNoA1n8oZB0ZkdRcIBOzUpJ2RkTp+\nvOLYBRvh8L9h2Iw0HTvuvIeAwbK1hUBAyLCyfF9ziGdTl5EoGJFjc/cQvdcFkRfD3nSrkwHI\n0SDLsbzJQn4EEbIDXsdu6tSpiXQnoVCoqqpqxowZ8+cfy0EqSdL8+fN5np80adJtt92WvAlm\nw4YNu3fvVl7TNJ2oIm+JtiHYAs2Y2NELJJ5h2rYaG/9NsyfF18gULeZO5QtnSyY3wlJ3SgyL\nemxXBjZFUURYDhlT8ebE14cKJRwduUi0AWJK58nMZjweV+l7oihyHJe4fHPbfk0TiNRRwx7Z\nZv70Hubwh13Tfcm9pongZt0dK72AisdxFJdUbMZiMRxhdEqsAA7Limx8NdrxWQaAcDiMwzjy\ncaQgiqJ69eRoNJp8QyiZmHd0e5skqmWFsLpNeSPt6dxG2DCnJUkFBQD+jqDN09cwI6w16UVR\nlGUZRzlXTPNIsn1MlrE2uHK7QNLgA6JWLPQUFQsANE0//vjjPp9v48aNixcvfuSRRxyOY9sd\nvv766y7pTpSEBWahr3dn0ZwbGX6ZYCiwH3rT7NvewxGyxHR+bw/sC5VczjpG9vF0XRAEAfm8\niHxkSpKEPD0EjnwTg1ikejS7JEmCICQsG2IBTY4dFe2wvjK752QiPd3NZLMrcvZ9bMUCEAQ4\nfu/DgUq8SB/BV4wccJYMx1qMHJ9xHONI/RuUJInjuJPOa4LCce6WfYEuka0n2RSkSDiaTgRr\nPKb5ps3G4rQFTS60gV+TvkdEUcQ37rAmMBr4DT4gHLsdO3Y8/PDDV1555dy5XfOOlpSUlJSU\nTJw48aqrrvrkk08uvvhi5f1bb731xhtvVF6HQqHly5cr2e/A4gYu3c0TAACMBcQ4gAyMCZwj\n5IJT6MLTnBRDHXwTevTqjkMJMVf9GzDld7KjRMPpeofn+XA4bLFYEEYhCYKgBOWhMihJUiAQ\nMBqNCQ+778iyHAwG3W6UO04CgQBFUWjrQAcCAZfLhfCHWjgc5nne4/FkYNNms6ncEw0Gg9Vq\nPTYiAOi8EZqMU1wwreMYk5xfIY+7VJ5xk9WWbwWIxWI0TeNId8KybCwWczqdOPIjRKNRk8mE\nw3IkElFKhuOIoQuFQjabDZNlQRAy65kpQT6OFIxGo3pUrMvlSowIABAFqXlXnYpXBwBcRGjf\nHx53VmnKzHNxE9cEWuYdgNx8j9XV15ESjUbj8bjb7cZUk16W5R7zyPYRZR4xmUwI56Zk/H5/\nl4oGqFAaHNOIVpxRJA2e/ajYrVu3Pvzww2az+eWXX/78889/9atflZeXf//9908++WR5eXl1\ndTXHcaNHj+5yI8jNzU289vl8So1nAJDdI+Vgbfpnp8ZdQRVMAUkA5sQYkzuq5eY0Eu6LHOxb\nx5xeBRSC71iZp5V65H23piBJUqJlkKB8C2htyrKM1mACtDYVkQgnpESF+Axs0jStXvL8pCYt\nOSNTjaos2kYNnZYsQskGh68sPT7jWGVjKhmufMVYZeNw7JCPo4RZ9b92+YobdrezodQLwGyY\na9rfOXKKWv0hALA5rUazgY+nu9ZCG2ib20rTfW0ErOOCpmlZlvF1MEy3fdyWAduIVlwxJJZT\nbujCWyuW47i//vWvOTk5t99++z333ON0OpctW+b3+8vKyjo7O3fu3HnTTTctWbLE7/dHIpFJ\nkyalNEgVnKLh9AYLlTseKCbZqwMA+Uh6IYQAEGuXW77WcEYCof8ZcwFYc1MfliDNB0SfLMtE\nDIGQbbgY316fbiq7jnp/PJpqdwEFOUM1JE7LKXL23asjEDIG74rdt99+y/N8e3v7smXLEm++\n/fbbl19++aRJk3ief+yxxyiKGjp0KKS5w8Y1gsqbKHfuVtnlnYAqPhcM3ZY9I80QadZwDW3f\nw1A8KyIEAhKMNjj7Tvjw9hSHJYZMmjNOzfvA+k9kvCMQ8BEPgdEGNJplEm9TSP0hbDKyJPua\ng0Vj8tQPG1qW31EfEEUp5eihaKq4PD/NsxMIOMDr2J155pmJqFgA2LdvX1VV1bx585xO54oV\nK7q8n59/YjB4vV4lTTMAhEKhk4J3xv6CCjdAPJDy7PLRD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CXLEPbGwt5Yy8HOIeNcJtuxQYmkJn2PKFU0MRkfCA0eCWu7xwqcGIvFkDT4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\ndgAAAAACgcEOAAAAQCAw2AEAAAAIxH8AzNwU/9Aj8rsAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mcp_counter_res %>%\n",
    "  gather(sample, score, -cell_type) %>%\n",
    "  ggplot(aes(x = sample, y = score, color = cell_type)) +\n",
    "  geom_point(size = 4) +\n",
    "  facet_wrap(~cell_type, scales = \"free_x\", ncol = 3) +\n",
    "  scale_color_brewer(palette = \"Paired\", guide = \"none\") +\n",
    "  coord_flip() +\n",
    "  theme_bw() +\n",
    "  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3fc0883e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CwWKYOdSuKp1f1jWzISTw0QDRDstm7d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\n4/96RsJ/AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "timer_res %>%\n",
    "  gather(sample, fraction, -cell_type) %>%\n",
    "  # plot as stacked bar chart\n",
    "  ggplot(aes(x = sample, y = fraction, fill = cell_type)) +\n",
    "  geom_bar(stat = \"identity\") +\n",
    "  coord_flip() +\n",
    "  scale_fill_brewer(palette = \"Paired\") +\n",
    "  scale_x_discrete(limits = rev(levels(timer_res)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "294924a7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}