Article
Inference of mutability landscapes of tumors from single cell sequencing data.
PLoS computational biology - 1 Nov 2020
Tsyvina Viachaslau, Zelikovsky Alex, Snir Sagi, Skums Pavel
Abstract excerpt
One of the hallmarks of cancer is the extremely high mutability and genetic instability of tumor cells. Inherent heterogeneity of intra-tumor populations manifests itself in high variability of clone instability rates. Analogously to fitness landscapes, the instability rates of clonal populations form their mutability landscapes. Here, we present MULAN (MUtability LANdscape inference), a maximum-likelihood...
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