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PyClone: statistical inference of clonal population structure in cancer
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Journal Article
PyClone: statistical inference of clonal population structure in cancer
2014
Overview
The hierarchical Bayesian model identifies and quantifies clonal populations in tumors from deep-sequenced somatic mutations.
We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's accuracy.
Publisher
Nature Publishing Group US,Nature Publishing Group
