Article
Inferring parameters of cancer evolution from sequencing and clinical data
2020-11-20
Abstract excerpt
As a cancer develops, its cells accrue new mutations, resulting in a heterogeneous, complex genomic profile. We make use of this heterogeneity to derive simple, analytic estimates of parameters driving carcinogenesis and reconstruct the timeline of selective events following initiation of an individual cancer. Using stochastic computer simulations of cancer growth, we show that we can accurately estimate mutation...
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Identifiers and source
- Literature Corpus work
- 2203c44d-c419-5dc0-8251-0da01008632b
- DOI
- 10.1101/2020.11.18.387837