AlexandrovLab/SigProfilerExtractor
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
PythonBSD-2-Clause
Stargazers
- abner24Singapore
- AdamtarantoThe University of Melbourne
- akdemirlabMD Anderson Cancer Center
- arkhan19Delft University of Technology
- bkohrn
- cagaser
- citosinaUNAM
- dakomuraDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo
- edawson@nvidia
- hassanfabiomarin pharmaceutical
- Jasondai9
- Jingjiao-ma
- judithhariprakashIFOM - The FIRC Institute of Molecular Oncology,
- kokyriakidisUniversity of California, Santa Cruz
- leoatchinaIngru
- melsiddiegUniversity of British Columbia
- minashaigan
- mishugebUCSD
- nicole22
- rarmisen
- rpolve
- rptashkinNew York, NY
- ShixiangWangCentral South University
- shukwong
- slw287r@geneplus
- smk508Albert Einstein College of Medicine
- spnlabUC Sand Diego Health
- superjw
- Tarek-BadrUMC Freiburg
- umahtoNYC
- WuyangFF95
- XD-Ye
- YingYa
- YuheCheng62La Jolla, CA
- zhengyonglanThe University of Chicago
- zoceanCarnegie Mellon University