Article

Model-based tumor subclonal reconstruction

2019-03-26

Abstract excerpt

The vast majority of cancer next-generation sequencing data consist of bulk samples composed of mixtures of cancer and normal cells. To study tumor evolution, subclonal reconstruction approaches based on machine learning are used to separate subpopulation of cancer cells and reconstruct their ancestral relationships. However, current approaches are entirely data-driven and agnostic to evolutionary theory. We demon...

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Literature Corpus work: 1227464b-5abe-5012-bbf4-c0cd58b98e3e
DOI: 10.1101/586560

Open publication

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