| Literature DB >> 24633410 |
Andrew Roth1, Jaswinder Khattra2, Damian Yap2, Adrian Wan2, Emma Laks2, Justina Biele2, Gavin Ha1, Samuel Aparicio3, Alexandre Bouchard-Côté4, Sohrab P Shah3.
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.Entities:
Mesh:
Year: 2014 PMID: 24633410 PMCID: PMC4864026 DOI: 10.1038/nmeth.2883
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547