Article

Bayesian inference of cancer driver genes using signatures of positive selection

2017-04-13

Abstract excerpt

Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which fuels tumor heterogeneity and ultimately complicates cancer driver gene identification. Here, we integrate cancer cell fraction, population recurrence, and functional impact of somatic mutations as signatures of selection into a Bayesian inference model for driver prediction. In an in-depth benchmark, we demonstrat...

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Literature Corpus work: 30299043-3fe1-53f9-b97c-75192f7e2221
DOI: 10.1101/059360

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