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Statistically identifying tumor suppressors and oncogenes from pan-cancer genome-sequencing data

Motivation: Several tools exist to identify cancer driver genes based on somatic mutation data. However, these tools do not account for subclasses of cancer genes: oncogenes, which undergo gain-of-function events, and tumor suppressor genes (TSGs) which undergo loss-of-function. A method which accou...

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Bibliografiska uppgifter
I publikationen:Bioinformatics
Huvudupphovsmän: Kumar, Runjun D., Searleman, Adam C., Swamidass, S. Joshua, Griffith, Obi L., Bose, Ron
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2015
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4757952/
https://ncbi.nlm.nih.gov/pubmed/26209800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv430
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