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PathScore: a web tool for identifying altered pathways in cancer data

Stephen G. Gaffney, Jeffrey P. Townsend
doi: https://doi.org/10.1101/067090
Stephen G. Gaffney
1Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06511
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Jeffrey P. Townsend
1Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06511
2Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511
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ABSTRACT

Summary PathScore quantifies the level of enrichment of somatic mutations within curated pathways, applying a novel approach that identifies pathways enriched across patients. The application provides several user-friendly, interactive graphic interfaces for data exploration, including tools for comparing pathway effect sizes, significance, gene-set overlap and enrichment differences between projects.

Availability and Implementation Web application available at pathscore.publichealth.yale.edu. Site implemented in Python and MySQL, with all major browsers supported. Source code available at github.com/sggaffney/pathscore with a GPLv3 license.

Contact stephen.gaffney{at}yale.edu

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted August 01, 2016.
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PathScore: a web tool for identifying altered pathways in cancer data
Stephen G. Gaffney, Jeffrey P. Townsend
bioRxiv 067090; doi: https://doi.org/10.1101/067090
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PathScore: a web tool for identifying altered pathways in cancer data
Stephen G. Gaffney, Jeffrey P. Townsend
bioRxiv 067090; doi: https://doi.org/10.1101/067090

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