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...

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Detalles Bibliográficos
Autores principales: Zhao, Siming, Liu, Jun, Nanga, Pranav, Liu, Yuwen, Cicek, A. Ercument, Knoblauch, Nicholas, He, Chuan, Stephens, Matthew, He, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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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