Rediscover: Identify Mutually Exclusive Mutations

An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparse matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.

Package details

AuthorJuan A. Ferrer-Bonsoms, Laura Jareno, and Angel Rubio
Bioconductor views mutex
MaintainerJuan A. Ferrer-Bonsoms <jafhernandez@tecnun.es>
LicenseArtistic-2.0
Version0.3.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Rediscover")

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Rediscover documentation built on April 14, 2023, 5:14 p.m.