Original paper
Quantification of subclonal selection in cancer from bulk sequencing data
Abstract
Subclonal architectures are prevalent across cancer types. However, the temporal evolutionary dynamics that produce tumor subclones remain unknown. Here we measure clone dynamics in human cancers by using computational modeling of subclonal selection and theoretical population genetics applied to high-throughput sequencing data. Our method determined the detectable subclonal architecture of tumor samples and simultaneously measured the selective...
Paper Details
Title
Quantification of subclonal selection in cancer from bulk sequencing data
Published Date
May 28, 2018
Journal
Volume
50
Issue
6
Pages
895 - 903
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Notes
History