Detecting repeated cancer evolution from multi-region tumor sequencing data

Methods

Detecting repeated cancer evolution from multi-region tumor sequencing data

Detecting repeated cancer evolution from multi-region tumor sequencing data, Published online: 31 August 2018; doi:10.1038/s41592-018-0108-x

REVOLVER uses transfer learning on multi-region tumor sequencing data to jointly infer tumor evolution models in multiple individuals and to detect repeated evolutionary trajectories. Repeated evolution can be used to stratify the cohort.

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