Package: Rediscover Type: Package Title: Identify Mutually Exclusive Mutations Version: 0.3.3 Authors@R: c( person(given = "Juan A.", family = "Ferrer-Bonsoms", role = c("aut", "cre"), email = "jafhernandez@tecnun.es"), person(given = "Laura", family = "Jareno", role = "aut"), person(given = "Angel", family = "Rubio", role = "aut")) Maintainer: Juan A. Ferrer-Bonsoms Description: 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. ]. 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. Depends: R (>= 4.0), Matrix, PoissonBinomial, ShiftConvolvePoibin, utils, matrixStats Imports: maftools, data.table, parallel, RColorBrewer, methods Suggests: knitr, rmarkdown, RUnit, BiocStyle, dplyr, kableExtra, magick, qvalue, testthat (>= 3.0.0) License: Artistic-2.0 LazyData: true RoxygenNote: 7.2.3 Encoding: UTF-8 biocViews: mutex VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-06-17 08:39:51 UTC; root Config/testthat/edition: 3 Author: Juan A. Ferrer-Bonsoms [aut, cre], Laura Jareno [aut], Angel Rubio [aut] Config/pak/sysreqs: libfftw3-dev libbz2-dev liblzma-dev xz-utils zlib1g-dev Repository: https://jferrer-b.r-universe.dev Date/Publication: 2025-12-19 17:10:09 UTC RemoteUrl: https://github.com/cran/Rediscover RemoteRef: HEAD RemoteSha: c2ccd683b42cfd0199b888925a4761460070f315