PyClone: statistical inference of clonal population structure in cancer

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PyClone: statistical inference of clonal population structure in cancer

TitlePyClone: statistical inference of clonal population structure in cancer
Publication TypeJournal Article
Year of Publication2014
AuthorsRoth, A, Khattra, J, Yap, D, Wan, A, Laks, E, Biele, J, Ha, G, Aparicio, S, Bouchard-Cote, A, Shah, SP
JournalNATURE METHODS
Volume11
Pagination396+
Date PublishedAPR
Type of ArticleArticle
ISSN1548-7091
AbstractWe 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.
DOI10.1038/NMETH.2883