Format

Send to

Choose Destination
Genome Biol. 2015 Aug 8;16:160. doi: 10.1186/s13059-015-0700-7.

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

Author information

1
Department of Computer Science, Brown University, 115 Waterman Street, Providence, 02912, RI, USA. mdml@cs.brown.edu.
2
Center for Computational Molecular Biology, Brown University, Providence, Box 1910, 02912, RI, USA. mdml@cs.brown.edu.
3
Department of Computer Science, Brown University, 115 Waterman Street, Providence, 02912, RI, USA. bournewu@cs.brown.edu.
4
Center for Computational Molecular Biology, Brown University, Providence, Box 1910, 02912, RI, USA. bournewu@cs.brown.edu.
5
Department of Computer Science, Brown University, 115 Waterman Street, Providence, 02912, RI, USA. vandinfa@imada.sdu.dk.
6
Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, Odense M, Denmark. vandinfa@imada.sdu.dk.
7
Department of Computer Science, Brown University, 115 Waterman Street, Providence, 02912, RI, USA. braphael@cs.brown.edu.
8
Center for Computational Molecular Biology, Brown University, Providence, Box 1910, 02912, RI, USA. braphael@cs.brown.edu.

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.

PMID:
26253137
PMCID:
PMC4531541
DOI:
10.1186/s13059-015-0700-7
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for BioMed Central Icon for PubMed Central
Loading ...
Support Center