<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Identify Mutually Exclusive Mutations</dc:title>
  <dc:title>R package Rediscover version 0.3.3</dc:title>
  <dc:subject>CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics)</dc:subject>
  <dc: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. &lt;doi:10.1186/s13059-016-1114-x&gt;].
    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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0), Matrix, PoissonBinomial, ShiftConvolvePoibin,
utils, matrixStats</dc:relation>
  <dc:relation>Imports: maftools, data.table, parallel, RColorBrewer, methods</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, RUnit, BiocStyle, dplyr, kableExtra,
magick, qvalue, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Juan A. Ferrer-Bonsoms &lt;jafhernandez@tecnun.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Juan A. Ferrer-Bonsoms [aut, cre],
  Laura Jareno [aut],
  Angel Rubio [aut]</dc:contributor>
  <dc:rights>Artistic-2.0</dc:rights>
  <dc:date>2025-12-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Rediscover</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Rediscover</dc:identifier>
</oai_dc:dc>
