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Model-based analysis of positive selection significantly expands the list of cancer driver genes, including RNA methyltransferases

2018-07-12

Abstract excerpt

Identifying driver genes is a central problem in cancer biology, and many methods have been developed to identify driver genes from somatic mutation data. However, existing methods either lack explicit statistical models, or rely on very simple models that do not capture complex features in somatic mutations of driver genes. Here, we present driverMAPS (Model-based Analysis of Positive Selection), a more comprehen...

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Literature Corpus work
2cfffffd-37cd-5e28-b192-ed265506b353
DOI
10.1101/366823
Open publication

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Model-based analysis of positive selection significantly expands the list of cancer driver genes, including RNA methyltransferasesDOI 10.1101/366823
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