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Detailed modeling of positive selection improves detection of cancer driver genes
Identifying driver genes from somatic mutations is a central problem in cancer biology. Existing methods, however, either lack explicit statistical models, or use models based on simplistic assumptions. Here, we present driverMAPS (Model-based Analysis of Positive Selection), a model-based approach...
Autores principales: | Zhao, Siming, Liu, Jun, Nanga, Pranav, Liu, Yuwen, Cicek, A. Ercument, Knoblauch, Nicholas, He, Chuan, Stephens, Matthew, He, Xin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667447/ https://www.ncbi.nlm.nih.gov/pubmed/31363082 http://dx.doi.org/10.1038/s41467-019-11284-9 |
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