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- Title
PyClone: statistical inference of clonal population structure in cancer.
- Authors
Roth, Andrew; Khattra, Jaswinder; Yap, Damian; Wan, Adrian; Laks, Emma; Biele, Justina; Ha, Gavin; Aparicio, Samuel; Bouchard-Côté, Alexandre; Shah, Sohrab P
- Abstract
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.
- Subjects
STATISTICAL models; CANCER research; CLONE cells; ONCOLOGY research; SOMATIC mutation; COPYING; BAYESIAN analysis
- Publication
Nature Methods, 2014, Vol 11, Issue 4, p396
- ISSN
1548-7091
- Publication type
Article
- DOI
10.1038/nmeth.2883