Mercurial > repos > ebi-gxa > pyscenic_aucell
changeset 1:3192e6fb85a6 draft default tip
planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 6f7bc53bd9da7ee2a480b5aa2d1825209738c4c4
author | ebi-gxa |
---|---|
date | Sun, 15 Sep 2024 10:13:21 +0000 |
parents | f408bd51bb59 |
children | |
files | pyscenic_binarize_aucell.py test-data/aucell_test_smaller.tsv |
diffstat | 2 files changed, 5051 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/pyscenic_binarize_aucell.py Sun Sep 15 10:13:21 2024 +0000 @@ -0,0 +1,50 @@ +import argparse + +import pandas as pd +from pyscenic.binarization import binarize + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Binarize AUC matrix") + parser.add_argument("input_file", help="Input TSV or CSV file") + parser.add_argument( + "--threshold-overrides", + type=str, + help="Threshold overrides in JSON format", + ) + parser.add_argument("--seed", type=int, default=None, help="Random seed") + parser.add_argument( + "--num-workers", type=int, default=1, help="Number of workers" + ) + parser.add_argument( + "--output-prefix", type=str, default="output", help="Output prefix" + ) + + args = parser.parse_args() + + # Read input file + if args.input_file.endswith(".tsv"): + auc_mtx = pd.read_csv(args.input_file, sep="\t", index_col=0) + elif args.input_file.endswith(".csv"): + auc_mtx = pd.read_csv(args.input_file, index_col=0) + else: + raise ValueError("Input file must be a TSV or CSV file") + + auc_mtx.apply(pd.to_numeric) + # Parse threshold overrides + threshold_overrides = None + if args.threshold_overrides: + import json + + threshold_overrides = json.loads(args.threshold_overrides) + + # Call binarize function + binarized_mtx, thresholds = binarize( + auc_mtx, threshold_overrides, args.seed, args.num_workers + ) + + # set column name for thresholds + thresholds.rename("threshold", inplace=True) + + # Save output files + binarized_mtx.to_csv(f"{args.output_prefix}/binarized_mtx.tsv", sep="\t") + thresholds.to_csv(f"{args.output_prefix}/thresholds.tsv", sep="\t")
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/aucell_test_smaller.tsv Sun Sep 15 10:13:21 2024 +0000 @@ -0,0 +1,5001 @@ +cell AUCell_1 AUCell_2 +B5FB4E 0.009497953 0.05208691 +D124DE 0.014876104 0.083665855 +730BE3 0.011850894 0.010739447 +580B7C 0.017634131 0.025516547 +31EE8A 0.004111183 0.02932923 +394599 0.021409178 0.037582144 +476B2D 0.020530058 0.011864306 +62E577 0.046602026 0.01686105 +2AD0A9 0.014005602 0.018116156 +B2B078 0.014350356 0.022414304 +F0EE20 0.017082525 0.0250074 +A13536 0.016315449 0.037025634 +D30926 0.027976729 0.058267716 +1092D5 0.003283775 0.016328223 +F6D1B0 0.024744667 0.0053519625 +1BCD8F 0.00055160525 0.033662897 +34E81A 0.0065847877 0.050298978 +03D2DE 2.5856496e-05 0.048629448 +F1073E 0.00929972 0.029944941 +E5EA59 0.016927386 0.026807176 +CFA867 0.028140487 0.017086022 +B45ABD 0.026149537 0.04399976 +7AF871 0.013014437 0.009590906 +742D73 0.0054729586 0.034657508 +F26DB5 0.028295627 0.022426143 +59137D 0.008256841 0.0061808066 +5AD9D2 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