Article

Inferring ongoing cancer evolution from single tumour biopsies using synthetic supervised learning

2021-11-22

Abstract excerpt

Variant allele frequencies (VAF) encode ongoing evolution and subclonal selection in growing tumours. However, existing methods that utilize VAF information for cancer evolutionary inference are compressive, slow, or incorrectly specify the underlying cancer evolutionary dynamics. Here, we provide a proof-of-principle synthetic supervised learning method, TumE, that integrates simulated models of cancer evolution...

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Literature Corpus work: 059a68bd-fff1-502b-81d4-d923260f07a7
DOI: 10.1101/2021.11.22.469566

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