CoMEt improves upon the Dendrix and Multi-Dendrix algorithms to identify collections of exclusive alterations in cancer without prior information. CoMEt uses a novel statistical score for exclusivity collections of alterations and an MCMC algorithm to compute the marginal probability of observing pairs of alterations in the same exclusive set.
Dendrix++ is a preliminary version of CoMEt that we applied as part of the TCGA AML project.
Please see http://compbio-research.cs.brown.edu/comet/ for an interactive display of the results of CoMEt applied to TCGA acute myeloid leukemia (AML), breast cancer (BRCA), glioblastoma (GBM), and stomach adenocarcinoma (STAD) datasets. The website also includes downloadable data files for the datasets analyzed in CoMEt publications (see below).
The CoMEt algorithm is described in the following publications:
* equal contribution