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Figs1-4 & Supp.1-12
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EliHei2 committed Mar 3, 2022
1 parent bb9f38d commit 8f33cd9
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Showing 22 changed files with 3,994 additions and 43 deletions.
44 changes: 44 additions & 0 deletions .logs/sagenet/ST_human_heart
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Expand Up @@ -1626,3 +1626,47 @@ Resource usage summary:

The output (if any) is above this job summary.

Namespace(i='data_tidy', oo='output', tag='ST_human_heart', tag_query='query', tag_ref='ST_all')
cuda:0
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------------------------------------------------------------
Sender: LSF System <lsf@codon-gpu-002>
Subject: Job 2251715: <python3 code/experiments/run_sagenet.py -i data_tidy --tag ST_human_heart --tag_ref ST_all --tag_query query --oo output> in cluster <codon> Done

Job <python3 code/experiments/run_sagenet.py -i data_tidy --tag ST_human_heart --tag_ref ST_all --tag_query query --oo output> was submitted from host <codon-gpu-002> by user <elyas> in cluster <codon> at Sun Feb 27 18:43:12 2022
Job was executed on host(s) <codon-gpu-002>, in queue <gpu>, as user <elyas> in cluster <codon> at Sun Feb 27 18:46:14 2022
</homes/elyas> was used as the home directory.
</nfs/research/marioni/elyas/papers/sagenet_paper> was used as the working directory.
Started at Sun Feb 27 18:46:14 2022
Terminated at Sun Feb 27 19:14:39 2022
Results reported at Sun Feb 27 19:14:39 2022

Your job looked like:

------------------------------------------------------------
# LSBATCH: User input
python3 code/experiments/run_sagenet.py -i data_tidy --tag ST_human_heart --tag_ref ST_all --tag_query query --oo output
------------------------------------------------------------

Successfully completed.

Resource usage summary:

CPU time : 60493.49 sec.
Max Memory : 3450 MB
Average Memory : 3112.68 MB
Total Requested Memory : 3000.00 MB
Delta Memory : -450.00 MB
Max Swap : -
Max Processes : 4
Max Threads : 131
Run time : 1708 sec.
Turnaround time : 1887 sec.

The output (if any) is above this job summary.

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2 changes: 1 addition & 1 deletion analysis/DHH_data_all.rmd
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Expand Up @@ -209,7 +209,7 @@ meta_dt %<>%
meta_dt$ent = 1 - meta_dt$ent/(max(meta_dt$ent))

sagenet_p = plot_2d(
dim_df = map_2d[['sagenet']][meta_dt$,],
dim_df = map_2d[['sagenet']][meta_dt$cell_id,],
labels = meta_dt$celltype,
label_cols = cell_type_cols,
hide_legend = FALSE,
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