Estimating growth patterns and driver effects in tumor evolution from individual samples

There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution at a patient specific level.

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Bibliographic Details
Main Authors: Leonidas Salichos, William Meyerson, Jonathan Warrell, Mark Gerstein
Format: article
Language:EN
Published: Nature Portfolio 2020
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Online Access:https://doaj.org/article/6c6a5bf56eac4983a05e8f4f824a7d1c
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