Detailed modeling of positive selection improves detection of cancer driver genes
Abstract
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 to driver gene identification. This method explicitly models positive selection at the single-base level, as well as highly heterogeneous background...
Paper Details
Title
Detailed modeling of positive selection improves detection of cancer driver genes
Published Date
Jul 30, 2019
Journal
Volume
10
Issue
1
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