Package: Rediscover 0.3.2

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.

Authors:Juan A. Ferrer-Bonsoms, Laura Jareno, and Angel Rubio

Rediscover_0.3.2.tar.gz
Rediscover_0.3.2.zip(r-4.5)Rediscover_0.3.2.zip(r-4.4)Rediscover_0.3.2.zip(r-4.3)
Rediscover_0.3.2.tgz(r-4.4-any)Rediscover_0.3.2.tgz(r-4.3-any)
Rediscover_0.3.2.tar.gz(r-4.5-noble)Rediscover_0.3.2.tar.gz(r-4.4-noble)
Rediscover_0.3.2.tgz(r-4.4-emscripten)Rediscover_0.3.2.tgz(r-4.3-emscripten)
Rediscover.pdf |Rediscover.html✨
Rediscover/json (API)
NEWS

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 0.00 score 13 dependencies 7 scripts 390 downloads

Last updated 1 years agofrom:a253eb4b90. Checks:OK: 7. Indexed: yes.

Exports:discoversomaticInteractionsgetMutexgetMutexABgetMutexGroupgetPM

Dependencies:data.tableDNAcopylatticemaftoolsMatrixmatrixStatsPoissonBinomialRColorBrewerRcppRhtslibShiftConvolvePoibinsurvivalzlibbioc