results/results_lncRNA.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vsR7th41-Yie"
      },
      "source": [
        "# Structure prediction in lncRNA \n",
        "This notebook shows the predicted structures of selected lncRNAs, for each method in the review, using the biochemical probing scores and probing-guided  structures as reference."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oMSPBbuI_QYp"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RH-LhfU09033",
        "outputId": "e8b0e7fd-6798-411b-96f5-046021e74d8e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-470\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  libalgorithm-c3-perl libb-hooks-endofscope-perl libb-hooks-op-check-perl\n",
            "  libclass-c3-perl libclass-c3-xs-perl libclass-method-modifiers-perl\n",
            "  libclass-xsaccessor-perl libcpan-changes-perl libcpan-distnameinfo-perl\n",
            "  libcpan-meta-check-perl libdata-optlist-perl libdata-perl-perl\n",
            "  libdata-section-perl libdevel-callchecker-perl\n",
            "  libdevel-globaldestruction-perl libdynaloader-functions-perl\n",
            "  libencode-locale-perl libexporter-tiny-perl libfile-pushd-perl\n",
            "  libfile-slurp-perl libgetopt-long-descriptive-perl libhtml-parser-perl\n",
            "  libhtml-tagset-perl libhttp-date-perl libhttp-message-perl\n",
            "  libimport-into-perl libio-html-perl libio-stringy-perl\n",
            "  liblist-moreutils-perl liblocal-lib-perl liblwp-mediatypes-perl\n",
            "  libmodule-build-perl libmodule-cpanfile-perl libmodule-implementation-perl\n",
            "  libmodule-runtime-perl libmodule-signature-perl libmoo-perl\n",
            "  libmoox-handlesvia-perl libmro-compat-perl libnamespace-autoclean-perl\n",
            "  libnamespace-clean-perl libpackage-stash-perl libpackage-stash-xs-perl\n",
            "  libparams-classify-perl libparams-util-perl libparams-validate-perl\n",
            "  libparse-pmfile-perl libpath-tiny-perl libpod-markdown-perl\n",
            "  libpod-readme-perl libreadonly-perl libref-util-perl libref-util-xs-perl\n",
            "  librole-tiny-perl libsoftware-license-perl libstrictures-perl\n",
            "  libstring-shellquote-perl libsub-exporter-perl\n",
            "  libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl\n",
            "  libsub-name-perl libsub-quote-perl libtext-template-perl libtimedate-perl\n",
            "  libtry-tiny-perl libtype-tiny-perl libtype-tiny-xs-perl libunicode-utf8-perl\n",
            "  liburi-perl libvariable-magic-perl\n",
            "Suggested packages:\n",
            "  libdata-dump-perl libscalar-number-perl libbareword-filehandles-perl\n",
            "  libindirect-perl libmultidimensional-perl libdevel-stacktrace-perl\n",
            "  libdevel-lexalias-perl libwww-perl\n",
            "The following NEW packages will be installed:\n",
            "  cpanminus libalgorithm-c3-perl libb-hooks-endofscope-perl\n",
            "  libb-hooks-op-check-perl libclass-c3-perl libclass-c3-xs-perl\n",
            "  libclass-method-modifiers-perl libclass-xsaccessor-perl libcpan-changes-perl\n",
            "  libcpan-distnameinfo-perl libcpan-meta-check-perl libdata-optlist-perl\n",
            "  libdata-perl-perl libdata-section-perl libdevel-callchecker-perl\n",
            "  libdevel-globaldestruction-perl libdynaloader-functions-perl\n",
            "  libencode-locale-perl libexporter-tiny-perl libfile-pushd-perl\n",
            "  libfile-slurp-perl libgetopt-long-descriptive-perl libhtml-parser-perl\n",
            "  libhtml-tagset-perl libhttp-date-perl libhttp-message-perl\n",
            "  libimport-into-perl libio-html-perl libio-stringy-perl\n",
            "  liblist-moreutils-perl liblocal-lib-perl liblwp-mediatypes-perl\n",
            "  libmodule-build-perl libmodule-cpanfile-perl libmodule-implementation-perl\n",
            "  libmodule-runtime-perl libmodule-signature-perl libmoo-perl\n",
            "  libmoox-handlesvia-perl libmro-compat-perl libnamespace-autoclean-perl\n",
            "  libnamespace-clean-perl libpackage-stash-perl libpackage-stash-xs-perl\n",
            "  libparams-classify-perl libparams-util-perl libparams-validate-perl\n",
            "  libparse-pmfile-perl libpath-tiny-perl libpod-markdown-perl\n",
            "  libpod-readme-perl libreadonly-perl libref-util-perl libref-util-xs-perl\n",
            "  librole-tiny-perl libsoftware-license-perl libstrictures-perl\n",
            "  libstring-shellquote-perl libsub-exporter-perl\n",
            "  libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl\n",
            "  libsub-name-perl libsub-quote-perl libtext-template-perl libtimedate-perl\n",
            "  libtry-tiny-perl libtype-tiny-perl libtype-tiny-xs-perl libunicode-utf8-perl\n",
            "  liburi-perl libvariable-magic-perl\n",
            "0 upgraded, 72 newly installed, 0 to remove and 39 not upgraded.\n",
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            "After this operation, 6,883 kB of additional disk space will be used.\n",
            "debconf: unable to initialize frontend: Dialog\n",
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            "(Reading database ... 155320 files and directories currently installed.)\n",
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            "Setting up libhtml-parser-perl (3.72-3build1) ...\n",
            "Setting up libdevel-globaldestruction-perl (0.14-1) ...\n",
            "Setting up libpod-markdown-perl (3.005000-1) ...\n",
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            "Setting up libmodule-build-perl (0.422400-1) ...\n",
            "Setting up libparams-util-perl (1.07-3build3) ...\n",
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            "Setting up cpanminus (1.7043-1) ...\n",
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            "Setting up libb-hooks-endofscope-perl (0.21-1) ...\n",
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            "Setting up libpod-readme-perl (1.1.2-2) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "--> Working on Graph\n",
            "Fetching http://www.cpan.org/authors/id/E/ET/ETJ/Graph-0.9725.tar.gz ... OK\n",
            "Configuring Graph-0.9725 ... OK\n",
            "==> Found dependencies: Heap, Set::Object\n",
            "--> Working on Heap\n",
            "Fetching http://www.cpan.org/authors/id/J/JM/JMM/Heap-0.80.tar.gz ... OK\n",
            "Configuring Heap-0.80 ... OK\n",
            "Building and testing Heap-0.80 ... OK\n",
            "Successfully installed Heap-0.80\n",
            "--> Working on Set::Object\n",
            "Fetching http://www.cpan.org/authors/id/R/RU/RURBAN/Set-Object-1.42.tar.gz ... OK\n",
            "Configuring Set-Object-1.42 ... OK\n",
            "Building and testing Set-Object-1.42 ... OK\n",
            "Successfully installed Set-Object-1.42\n",
            "Building and testing Graph-0.9725 ... OK\n",
            "Successfully installed Graph-0.9725\n",
            "3 distributions installed\n",
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            "\u001b[?25h  Building wheel for serverfiles (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Collecting wget\n",
            "  Downloading wget-3.2.zip (10 kB)\n",
            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9675 sha256=3e330c5783327ab9bb760deff8f4d035cbb884fd017a36d748f60e09b02aaf42\n",
            "  Stored in directory: /root/.cache/pip/wheels/a1/b6/7c/0e63e34eb06634181c63adacca38b79ff8f35c37e3c13e3c02\n",
            "Successfully built wget\n",
            "Installing collected packages: wget\n",
            "Successfully installed wget-3.2\n",
            "Cloning into 'draw_rna'...\n",
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            "\u001b[33m  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.\n",
            "   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.\u001b[0m\n",
            "Building wheels for collected packages: draw-rna\n",
            "  Building wheel for draw-rna (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for draw-rna: filename=draw_rna-0.1-py3-none-any.whl size=15175 sha256=9e8d5bfddedf356f2410d0a3363a6a7951ed07b6ccd2c3c601eff4b62396c559\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-g9j2gpoq/wheels/6a/07/c3/4f14b68af161e25e2886770b75da9869989b134b402407136b\n",
            "Successfully built draw-rna\n",
            "Installing collected packages: draw-rna\n",
            "Successfully installed draw-rna-0.1\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "\n",
        "!sudo apt -qq install cpanminus && sudo cpanm Graph\n",
        "\n",
        "!pip -q install biopython\n",
        "!pip -q install path\n",
        "!pip -q install Orange3\n",
        "!pip install wget\n",
        "\n",
        "# RNA plotting library\n",
        "!git clone https://github.com/DasLab/draw_rna.git\n",
        "!mv draw_rna draw_rna_directory\n",
        "os.chdir(\"draw_rna_directory/\")\n",
        "!pip install .\n",
        "os.chdir(\"../\")\n",
        "import draw_rna.draw as draw\n",
        "\n",
        "import re\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import accuracy_score\n",
        "import wget\n",
        "from Bio import SeqIO\n",
        "from matplotlib import pyplot as plt\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "# Download and decompress RNAstructure\n",
        "!wget -q http://rna.urmc.rochester.edu/Releases/current/RNAstructureLinuxTextInterfaces64bit.tgz\n",
        "!tar xfz RNAstructureLinuxTextInterfaces64bit.tgz\n",
        "\n",
        "repository_path = \"https://raw.githubusercontent.com/sinc-lab/lncRNA-folding/main/\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-m7UPoXzE-Bl"
      },
      "source": [
        "## Auxiliary functions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "ORUxTtm8B8Ml"
      },
      "outputs": [],
      "source": [
        "def dot2ct(in_name, out_name):\n",
        "    \"\"\"\n",
        "    Convert dotbracket to ct using RNAstructure library\n",
        "   \n",
        "    Parameters\n",
        "    ----------\n",
        "    in_name : str\n",
        "        Fasta filename with seq_id, sequence and structure (dotbracket)\n",
        "    out_name : str\n",
        "        Filename to save ct format\n",
        "    \"\"\"\n",
        "    tab_path = \"RNAstructure/data_tables\"\n",
        "    dot2ct_path = \"RNAstructure/exe/dot2ct\"\n",
        "\n",
        "    os.system(f\"export DATAPATH={tab_path}; {dot2ct_path} {in_name} {out_name}\")\n",
        "\n",
        "def rnastructure_scorer(reference_fasta, prediction_fasta):\n",
        "    \"\"\"\n",
        "    Compares reference and predicted structures and returns RNAstructure scores\n",
        "   \n",
        "    Parameters\n",
        "    ----------\n",
        "    reference_fasta : str\n",
        "        Fasta filename with seq_id, sequence and structure with reference\n",
        "    prediction_fasta : str\n",
        "        Fasta filename with seq_id, sequence and structure with prediction\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    s, p, f1\n",
        "        Base-pairing sensibility, precision and f1-score\n",
        "    \"\"\"\n",
        "    # Convert input dot files into ct files\n",
        "    # http://rna.urmc.rochester.edu/Text/File_Formats.html#CT\n",
        "    tab_path = \"RNAstructure/data_tables\"\n",
        "    dot2ct_path = \"RNAstructure/exe/dot2ct\"\n",
        "    scorer_path = \"RNAstructure/exe/scorer\"\n",
        "\n",
        "    os.system(f\"export DATAPATH={tab_path}; {dot2ct_path} {prediction_fasta} tmp_pred.ct\")\n",
        "    os.system(f\"export DATAPATH={tab_path}; {dot2ct_path} {reference_fasta} tmp_true.ct\")\n",
        "\n",
        "    # Calculate metrics\n",
        "    s, p, f1 = 0, 0, 0  # if the predictions are invalid and the scorer fails, scores are 0 \n",
        "    os.system(f\"export DATAPATH={tab_path}; {scorer_path} tmp_pred.ct tmp_true.ct tmp_score.txt\")\n",
        "    if os.path.isfile(\"tmp_score.txt\"): # scorer exited sucessfully\n",
        "        for line in open('tmp_score.txt'):\n",
        "            if 'Sensitivity' in line:\n",
        "                s = float(line.strip().split()[-1][:-1])/100\n",
        "            if 'PPV' in line:\n",
        "                p = float(line.strip().split()[-1][:-1])/100\n",
        "        if s + p != 0:\n",
        "            f1 = 2*s*p/(s + p)\n",
        "        \n",
        "    # clean tmp files\n",
        "    for f in [\"tmp_pred.ct\", \"tmp_true.ct\", \"tmp_score.txt\"]:\n",
        "        if os.path.isfile(f):\n",
        "            os.remove(f)\n",
        "\n",
        "    return s, p, f1\n",
        "\n",
        "def split_fasta_seq(seq_str):\n",
        "    \"\"\"\n",
        "    split sequence id, sequence and structure from string\n",
        "   \n",
        "    Parameters\n",
        "    ----------\n",
        "    seq_str : str\n",
        "        String as read from SeqIO.parse\n",
        "    \n",
        "    Returns\n",
        "    -------\n",
        "    seq, struct\n",
        "        Sequence and structure strings\n",
        "    \"\"\"\n",
        "    ind = re.search(\"[.()\\[\\]{}<>]\", seq_str).start()\n",
        "\n",
        "    seq = seq_str[:ind].lower().replace('t', 'u')\n",
        "    struct = seq_str[ind:ind*2]\n",
        "    \n",
        "    return seq, struct\n",
        "\n",
        "def write_fasta(fname, seqid, seq, struct):\n",
        "    \"\"\"\n",
        "    Writes fasta file using one item per line\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    fname : str\n",
        "        Output filename\n",
        "    seqid, seq, struct : str\n",
        "        Sequence id, sequence and structure to write\n",
        "    \"\"\"\n",
        "    with open(fname, \"w\") as fin:\n",
        "        fin.write(f\">{seqid}\\n\")\n",
        "        fin.write(f\"{seq}\\n\")\n",
        "        fin.write(f\"{struct}\\n\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Sldtkn4QS_l0"
      },
      "source": [
        "## Mean absolute similarity (MAS) score and probing normalization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "EL-XPEbGS_l1"
      },
      "outputs": [],
      "source": [
        "def scale_probing(scores, source):\n",
        "    \"\"\"\n",
        "    Scale the structural probing scores in the range [0, 1], where 0 is not \n",
        "    paired and 1 is paired.\n",
        "        \n",
        "    Parameters\n",
        "    ----------\n",
        "    scores : array[float]\n",
        "        Structural probing scores, same size as the RNA sequence\n",
        "    source : str\n",
        "        Probing method from the following:\n",
        "\n",
        "        'PARS': original log scale (cite2010)\n",
        "        \n",
        "        'nextPARS': from linear scores (SHAPE-like by Uciel Chorostecki2021 https://doi.org/10.1007/978-1-0716-1307-8_4)\n",
        "                    \"score for each nucleotide that ranges from −1.0 (highest preference for single strand)\n",
        "                    to 1.0 (highest preference for double-strand).\"\n",
        "                    https://github.com/Gabaldonlab/nextPARS_docker\n",
        "        \n",
        "        'SHAPE': input scores in (0,1) 0=>match (double strand) and 1=>non-match (single strand)\n",
        "                (Chillon2015 https://dx.doi.org/10.1016/bs.mie.2015.01.008)\n",
        "                preprocessing: https://colab.research.google.com/drive/1uFgjb4uesAvYHPRhFqfkyMJ5bQec8rgP\n",
        "                - mark with -999 the undetermined nucleotides\n",
        "                - remove negative values (replace with -999)\n",
        "                - replace scores>1 with 1.0\n",
        "                - (do not scale/transform values in the range (0,1) because they have a particular meaning in the standard.\n",
        "                output 1-score\n",
        "        'SHAPE-D': apply ln and then linear scale\n",
        "                (Deigan2009 https://doi.org/10.1073/pnas.0806929106)\n",
        "                (default in RNAfold https://www.tbi.univie.ac.at/RNA/RNAfold.1.html)\n",
        "                [HOTAIR, PAN]?\n",
        "        \n",
        "        np.nan: nt without measurement => assing 0.5 (then exclude them with tol>0.0\n",
        "        in the MAS function)\n",
        "    \n",
        "    Returns\n",
        "    -------\n",
        "    nscores\n",
        "        Normalized scores\n",
        "    \"\"\"\n",
        "    s = scores.copy()\n",
        "    \n",
        "    if source==\"PARS\":\n",
        "        nscores = (s + 7) / (2*7)\n",
        "    elif source==\"nextPARS\":\n",
        "        nscores = (s + 1) / 2 \n",
        "    elif source==\"SHAPE\":\n",
        "        nscores = 1 - s\n",
        "    elif source==\"SHAPE-D\":\n",
        "        shD = 1.8*np.log(s+1)-0.6\n",
        "        shD[shD<-2.0] = -2.0\n",
        "        shD[shD>2.0] = 2.0\n",
        "        nscores = (shD+2.0)/4.0\n",
        "    else:\n",
        "        print(\"WARNING: scaling not applied\")\n",
        "        nscores = s\n",
        "\n",
        "    nscores[np.isnan(nscores)] = 0.5    \n",
        "    return nscores \n",
        "\n",
        "def mas_score(pred, nscores, tol=0.1):\n",
        "    \"\"\"\n",
        "    Mean absolute similarity (MAS) between binary predictions and biochemical \n",
        "    probing scores.   \n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    pred : array[int]\n",
        "        Paired-unpaired prediction for each nucleotid in {0, 1}, where 0 is \n",
        "        unpaired and 1 is paired\n",
        "    nscores : array[float]\n",
        "        Probing score for each nucleotid in [0, 1], where 0 is high score for \n",
        "        unpaired and 1 high score for paired\n",
        "    tol : float\n",
        "        Nucleotids with (0.5 - tol/2) < score < (0.5 + tol/2)  are ignored\n",
        "    \n",
        "    Returns\n",
        "    -------\n",
        "    MASu, MASp, MAS : float\n",
        "        paired MAS, unpaired MAS and average MAS. \n",
        "    \"\"\"\n",
        "    i_pos = nscores > 0.5 + tol/2\n",
        "    i_neg = nscores <= 0.5 - tol/2\n",
        "    Npos = sum(i_pos)\n",
        "    Nneg = sum(i_neg)\n",
        "       \n",
        "    diff = pred - nscores\n",
        "    \n",
        "    mas_pos = 1 - np.absolute(diff[i_pos]).mean()\n",
        "    mas_neg = 1 - np.absolute(diff[i_neg]).mean()\n",
        "    \n",
        "    # best and worst cases for normalization\n",
        "    ref_ideal = np.ones((len(nscores),))\n",
        "    ref_ideal[nscores<=tol/2+0.5] = 0.0\n",
        "    \n",
        "    diff_ideal = ref_ideal - nscores\n",
        "    diff_worst = (1-ref_ideal) - nscores\n",
        "    \n",
        "    max_mas_pos = 1 - np.absolute(diff_ideal[i_pos]).mean() \n",
        "    max_mas_neg = 1 - np.absolute(diff_ideal[i_neg]).mean()     \n",
        "    min_mas_pos = 1 - np.absolute(diff_worst[i_pos]).mean() \n",
        "    min_mas_neg = 1 - np.absolute(diff_worst[i_neg]).mean()     \n",
        "    \n",
        "    MASp = (mas_pos - min_mas_pos) / (max_mas_pos - min_mas_pos) \n",
        "    MASu = (mas_neg - min_mas_neg) / (max_mas_neg - min_mas_neg) \n",
        "    \n",
        "    # simple average\n",
        "    ave_mas = 1 - np.absolute(diff[i_pos | i_neg]).mean() \n",
        "    \n",
        "    # normalized average\n",
        "    max_ave_mas = 1 - np.absolute(diff_ideal[i_pos | i_neg]).mean()\n",
        "    min_ave_mas = 1 - np.absolute(diff_worst[i_pos | i_neg]).mean()\n",
        "    MAS = (ave_mas - min_ave_mas) / (max_ave_mas - min_ave_mas) \n",
        "\n",
        "    return MASp, MASu, MAS"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pB0uIJO4A1-Q"
      },
      "source": [
        "## Prepare dataset and predictions\n",
        "Retrieve structure references (dot-bracket), probing scores and predictions of each lncRNA. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "AcNMgaG_BHl-"
      },
      "outputs": [],
      "source": [
        "# References\n",
        "lncRNAs = {}\n",
        "lncRNAs_fasta = \"lncRNAs.fasta\"\n",
        "if not os.path.isfile(lncRNAs_fasta):\n",
        "    wget.download(f\"{repository_path}data/lncRNAs.fasta\")\n",
        "for rec in SeqIO.parse(lncRNAs_fasta, \"fasta\"):\n",
        "    lncRNAs[rec.id] = split_fasta_seq(str(rec.seq))\n",
        "\n",
        "# Probing scores\n",
        "probing_scores_raw = pd.read_csv(f\"{repository_path}data/lncRNAs_probing_scores.csv\", index_col=0)\n",
        "\n",
        "probing_scores = {}\n",
        "for ID in probing_scores_raw.index:\n",
        "    if \"NORAD\" in ID:\n",
        "        probing_method = \"nextPARS\"\n",
        "    elif ID in [\"HOTAIR\", \"CYRANO\", \"MALAT1\", \"MEG3\",\"PAN\",\"XIST\", \n",
        "                \"lincRNAp21_IRAlu_Sense\", \"lincRNAp21_IRAlu_Antisense\"]:\n",
        "        probing_method = \"SHAPE\"\n",
        "    else:\n",
        "        print(f\"{ID} normalization is not defined\")    \n",
        "        probing_method = \"\"\n",
        "    \n",
        "    scores = probing_scores_raw.loc[ID].dropna().values\n",
        "    scores[scores == -999] = np.nan\n",
        "\n",
        "    probing_scores[ID] = scale_probing(scores, probing_method)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "aXPBC6sVEYK2"
      },
      "outputs": [],
      "source": [
        "# Reviewed methods sorted by publication date. E2Efold and 2dRNA-Fold were \n",
        "# removed because the median F1-value is < .1 in every subset. \n",
        "methods = ['CONTRAFold', 'CentroidFold', 'ProbKnot', 'ShapeKnots', 'RNAstructure',\n",
        "           'contextFold', 'IPknot', 'RNAfold', 'pKiss', 'RNAshapes',\n",
        "           'LinearFold', 'SPOT-RNA', 'LinearPartition',\n",
        "           'rna-state-inf', 'MXfold2', 'SPOT-RNA2', 'UFold']\n",
        "\n",
        "# Load all predictions\n",
        "predictions = {}\n",
        "for method in methods:\n",
        "    \n",
        "    predictions[method] = {}\n",
        "    prediction_fasta =  f\"{method}.fasta\"\n",
        "    \n",
        "    if not os.path.isfile(prediction_fasta):\n",
        "         wget.download(f\"{repository_path}predictions/lncRNAs/{method}.fasta\")\n",
        "\n",
        "    # Read each sequence structure\n",
        "    for rec in SeqIO.parse(prediction_fasta, \"fasta\"):\n",
        "        seq, struct = split_fasta_seq(str(rec.seq))        \n",
        "        predictions[method][rec.id] = struct"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "39niwsONRbg4"
      },
      "source": [
        "## Compute global metrics\n",
        "Compare the predictions with references of each lncRNA. The references includes the dot-bracket structure and the structural probing score"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "629134c57f5944b5ac78db4c067b2cdb",
            "baf68fbcd51b4efca0fcf444f10cf79f",
            "6c175cb9532843f8aed7ba4177f21525",
            "3ea0caf3de1a454dbc9e9e263b587686",
            "2c28fdc31ccc41108c6fb4b061c1c2e3",
            "de224e1288244f11bcebd95d263fa1fa",
            "bd3bd4fed96b49f6adfc4b9bb573ea93",
            "a84988ff08714768924189c84f4f246b",
            "7d2581e0c175447bace9845f4ac82c48",
            "6f203dd5a3c4419580d18aeb65e8cbbc",
            "9c0bc01f42bf4219a1cec68bb314578e"
          ]
        },
        "id": "OwhRlvUaRbB6",
        "outputId": "8001cde1-c846-43a3-b165-18b96b24ef6b"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "629134c57f5944b5ac78db4c067b2cdb",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/17 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "results = []   \n",
        "tmp_pred = 'pred.fasta'\n",
        "tmp_ref = 'label.fasta'\n",
        "\n",
        "for method in tqdm(methods):\n",
        "    for ID in  predictions[method]:\n",
        "        # Reference\n",
        "        sequence = lncRNAs[ID][0]\n",
        "        struct_reference = lncRNAs[ID][1]\n",
        "        \n",
        "        # Prediction\n",
        "        struct = predictions[method][ID]\n",
        "        pairing_prediction = [0 if n == \".\" else 1 for n in struct]  \n",
        "\n",
        "        # MAS score\n",
        "        MASp, MASu, MAS = np.nan, np.nan, np.nan\n",
        "        if ID in probing_scores: \n",
        "            MASp, MASu, MAS = mas_score(pairing_prediction, probing_scores[ID])\n",
        "            \n",
        "        # Remove pseudoknots for F1 scoring \n",
        "        for c in np.unique(list(struct)):\n",
        "            if c not in [\"(\", \")\", \".\"]:\n",
        "                struct = struct.replace(c, \".\")\n",
        "\n",
        "        write_fasta(tmp_ref, ID, sequence, struct_reference)\n",
        "        write_fasta(tmp_pred, ID, sequence, struct)\n",
        "        \n",
        "        # Prediction vs dot-bracket structure\n",
        "        s, p, f1 = rnastructure_scorer(tmp_ref, tmp_pred)\n",
        "        os.remove(tmp_pred)\n",
        "        os.remove(tmp_ref)\n",
        "\n",
        "        results.append([ID, method, struct, MASp, MASu, MAS, \n",
        "                        s, p, f1])\n",
        "\n",
        "results = pd.DataFrame(results, columns=[\"ID\", \"Method\", \"Struct\", \n",
        "                                         \"MASp\", \"MASu\", \"MAS\",\n",
        "                                         \"Sensibility\", \"Precision\", \"F1\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 370
        },
        "id": "IaTnyrSnsSQq",
        "outputId": "1ed162a4-ed6b-4a38-c20b-c1b5b9c0e1f3"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "font = {'size'   : 12}\n",
        "matplotlib.rc('font', **font)\n",
        "\n",
        "# Coverage\n",
        "nc = results.loc[:, ['Method', 'F1']].groupby(by='Method', sort=False).count().values\n",
        "coverage = np.squeeze(nc/len(results.ID.unique()))\n",
        "\n",
        "# Sort sequences by length\n",
        "seq_len = [len(lncRNAs[k][0]) for k in lncRNAs]\n",
        "seq_names = [k for k in lncRNAs]\n",
        "seq_names = [seq_names[p] for p in np.argsort(seq_len)]\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 5))\n",
        "metric = \"MAS\"\n",
        "\n",
        "ax.bar(np.arange(len(coverage)), coverage, color=[.0, .0, .5, .05], \n",
        "       edgecolor=[.0, .0, .5, .2], width=.5, label=\"Coverage\")\n",
        "\n",
        "sns.violinplot(data=results, x='Method', y=metric, width=1, inner=None, \n",
        "            color=\"white\", ax=ax);\n",
        "\n",
        "median = results.groupby(by=\"Method\", sort=False)[metric].median()\n",
        "ax.scatter(x=range(len(median)), y=median, marker=\"d\", facecolors=\"none\", \n",
        "            edgecolors=plt.cm.viridis(.3), s=150, linewidth=3, zorder=10, \n",
        "           label=\"Median\")\n",
        "\n",
        "sns.swarmplot(data=results, x='Method', y=metric, color=\"gray\", size=6, ax=ax);\n",
        "\n",
        "ax.spines[\"top\"].set_visible(False)\n",
        "ax.spines[\"right\"].set_visible(False)\n",
        "ax.set_ylim([0, 1]);\n",
        "    \n",
        "ax.legend()\n",
        "plt.xlabel(\"\")\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation=30);\n",
        "    "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1WN6CcEdVhRH"
      },
      "source": [
        "**F1 distribution sorted by lncRNA length**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "RDegQejIVfu8",
        "outputId": "553c4657-5ecb-4fc0-d360-a49db44dc537"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(0.0, 1.0)"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "from numpy.ma.core import masked_outside\n",
        "fig, ax = plt.subplots(figsize=(10, 5))\n",
        "\n",
        "# Remove RepA and ROX2 as they do not have probing scores\n",
        "results = results[(results.ID!=\"ROX2\") & (results.ID!=\"RepA\")]\n",
        "seq_names = [s for s in seq_names if s not in [\"ROX2\", \"RepA\"]]\n",
        "seq_names[seq_names.index(\"lincRNAp21_IRAlu_Antisense\")] = \"p21_IRAluA\"\n",
        "results.replace(\"lincRNAp21_IRAlu_Antisense\", \"p21_IRAluA\", inplace=True)\n",
        "seq_names[seq_names.index(\"lincRNAp21_IRAlu_Sense\")] = \"p21_IRAluS\"\n",
        "results.replace(\"lincRNAp21_IRAlu_Sense\", \"p21_IRAluS\", inplace=True)\n",
        "\n",
        "\n",
        "sns.violinplot(data=results, x='ID', y=metric, width=5, inner=None, \n",
        "            color=\"white\", ax=ax, order=seq_names);\n",
        "\n",
        "median = results.groupby(by=\"ID\")[metric].median().loc[seq_names]\n",
        "\n",
        "ax.scatter(x=range(len(median)), y=median, marker=\"d\", facecolors=\"none\", \n",
        "            edgecolors=plt.cm.viridis(.3), s=150, linewidth=3, zorder=10, \n",
        "           label=\"Median\")\n",
        "\n",
        "sns.swarmplot(data=results, x='ID', y=metric, color=\"gray\",size=5, ax=ax, \n",
        "              order=seq_names);\n",
        "\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=45);\n",
        "ax.spines[\"top\"].set_visible(False)\n",
        "ax.spines[\"right\"].set_visible(False)\n",
        "plt.legend()\n",
        "plt.xlabel(\"\")\n",
        "plt.ylim([0, 1]);"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8gMmu34HPtZT"
      },
      "source": [
        "## NORAD1 - 37°C\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "QeEv0dYCPtqH",
        "outputId": "8bbd0c46-7024-46bd-86eb-5ddee0a256bc"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "ID = \"NORAD1_37C\" \n",
        "\n",
        "fig, ax = plt.subplots(figsize=(8, 5))\n",
        "norad = results.loc[results.ID == ID]\n",
        "\n",
        "norad.plot(x=\"Method\", y=[\"MAS\", \"F1\"], kind=\"bar\", ax=ax)\n",
        "\n",
        "x = np.arange(len(norad.Method.unique())) - .15\n",
        "ax.plot((x,x), ([p+0.01 for p in norad[\"MASp\"]], [n+0.01 for n in norad[\"MASu\"]]),\n",
        "        color=[0.5,0.5,0.5,0.7], linewidth=1)\n",
        "ax.plot(x, norad[\"MASp\"], marker=\"P\", color=[.5, 0, 0, .5], markersize=7,\n",
        "        linewidth=0, label=\"paired MAS\")\n",
        "ax.plot(x-0.02, norad[\"MASu\"], marker=\"$-$\", color=[0, 0, .5, .5], \n",
        "        markersize=10, linewidth=0, label=\"unpaired MAS\")\n",
        "ax.spines[\"top\"].set_visible(False)\n",
        "ax.spines[\"right\"].set_visible(False)\n",
        "ax.set_ylim([0, 1])\n",
        "#ax.legend([],[], frameon=False)\n",
        "ax.legend();"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aVbsva6pXHmY"
      },
      "source": [
        "#### Structure comparison between predictions and references\n",
        "This section shows the top-3 and worst predictions (according to MAS score and F1) compared with the dot-bracket reference  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 747
        },
        "id": "wmj0YyhEXC1b",
        "outputId": "c975b39b-6d13-4b5e-e893-3eb99e367d96"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n",
            "Interpreting color string as integer values\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1370.16x1370.16 with 5 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1370.16x1370.16 with 5 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "seq, struct_ref = lncRNAs[ID] # Reference\n",
        "\n",
        "im_width = len(seq)/100\n",
        "\n",
        "colors = np.arange(len(seq)) # color map from 5' to 3'\n",
        "\n",
        "for metric in [\"F1\", \"MAS\"]:\n",
        "    res_sorted = results[(results.ID == ID) & (results.Struct.str.len() > 0)].sort_values(by=metric, ascending=False)\n",
        "    \n",
        "    fig, axes = plt.subplots(1, 5, figsize=(im_width, im_width))\n",
        "    axes = axes.ravel()\n",
        "\n",
        "    for k, ax in enumerate(axes):\n",
        "        if k == 0:  # reference\n",
        "            struct = struct_ref\n",
        "            title = \"Reference\"\n",
        "        else:  \n",
        "            if k == len(axes) - 1: # the worst prediction \n",
        "                ind = -1\n",
        "            else: # top-3 predictions\n",
        "                ind = k - 1\n",
        "            pred = res_sorted.iloc[ind]\n",
        "            struct = pred.Struct \n",
        "            title = pred.Method\n",
        "\n",
        "        ax.set_title(title)\n",
        "        \n",
        "        draw.draw_rna(seq, struct, colors, cmap_name = \"viridis\", ax=ax, line=True)\n",
        "\n",
        "        # circular plot\n",
        "        write_fasta(f\"tmp{k}.dbn\", f\"{ID}_{title}\", seq, struct)\n",
        "        dot2ct(f\"tmp{k}.dbn\", f\"tmp{k}.ct\")\n",
        "\n",
        "        if k > 0:\n",
        "            os.system(f\"export DATAPATH=RNAstructure/data_tables; RNAstructure/exe/CircleCompare tmp{k}.ct --svg -n 1 -u tmp0.ct circplot{k}_{metric}\")"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "results_lncRNA_final.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
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