CoMEt: A statistical approach to identify combinations of mutually exclusive alterations in cancer

Mark D.M. Leiserson, Hsin Ta Wu, Fabio Vandin, Benjamin J. Raphael

Research output: Contribution to journalArticle

87 Scopus citations

Abstract

Cancer is a heterogeneous disease with different combinations of genetic alterations driving its development in different individuals. We introduce CoMEt, an algorithm to identify combinations of alterations that exhibit a pattern of mutual exclusivity across individuals, often observed for alterations in the same pathway. CoMEt includes an exact statistical test for mutual exclusivity and techniques to perform simultaneous analysis of multiple sets of mutually exclusive and subtype-specific alterations. We demonstrate that CoMEt outperforms existing approaches on simulated and real data. We apply CoMEt to five different cancer types, identifying both known cancer genes and pathways, and novel putative cancer genes.

Original languageEnglish (US)
Article number160
JournalGenome biology
Volume16
Issue number1
DOIs
StatePublished - Aug 8 2015

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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