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Extreme value theory as a general framework for understanding mutation frequency distribution in cancer genomes

2020-11-26

Abstract excerpt

Currently, there is no recognized population genetics framework describing the population dynamics of cancer cells that is applicable to real cancer genome data. By focusing on cancer as a Darwinian evolutionary system, we formulated and analyzed the observed mutation frequency among tumors (MFaT) as a proxy for the hypothesized sequence read frequency and beneficial fitness effect of a cancer driver mutation. Ana...

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Literature Corpus work
b7780977-f5ce-51eb-9272-cde33505d1b2
DOI
10.1101/2020.11.25.397562
Open publication

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Extreme value theory as a general framework for understanding mutation frequency distribution in cancer genomesDOI 10.1101/2020.11.25.397562
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