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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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| Publicado en: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2015
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| Assuntos: | |
| Acceso en liña: | 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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