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.

Version: 0.3.2
Depends: R (≥ 4.0), Matrix, PoissonBinomial, ShiftConvolvePoibin, utils, matrixStats
Imports: maftools, data.table, parallel, RColorBrewer, methods
Suggests: knitr, rmarkdown, RUnit, BiocStyle, BiocGenerics, dplyr, kableExtra, magick, stats, qvalue
Published: 2023-04-14
DOI: 10.32614/CRAN.package.Rediscover
Author: Juan A. Ferrer-Bonsoms, Laura Jareno, and Angel Rubio
Maintainer: Juan A. Ferrer-Bonsoms <jafhernandez at>
License: Artistic-2.0
NeedsCompilation: no
Citation: Rediscover citation info
Materials: README NEWS
In views: Omics
CRAN checks: Rediscover results


Reference manual: Rediscover.pdf
Vignettes: Rediscover


Package source: Rediscover_0.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Rediscover_0.3.2.tgz, r-oldrel (arm64): Rediscover_0.3.2.tgz, r-release (x86_64): Rediscover_0.3.2.tgz, r-oldrel (x86_64): Rediscover_0.3.2.tgz
Old sources: Rediscover archive


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