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

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Rediscover.pdf |Rediscover.html
Rediscover/json (API)
NEWS

# Install 'Rediscover' in R:
install.packages('Rediscover', repos = c('https://jferrer-b.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

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

mutex

2.70 score 7 scripts 295 downloads 5 exports 26 dependencies

Last updated 2 years agofrom:a253eb4b90. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:discoversomaticInteractionsgetMutexgetMutexABgetMutexGroupgetPM

Dependencies:clicolorspacedata.tableDNAcopyfarvergluegtablelabelinglatticelifecyclemaftoolsMatrixmatrixStatsmunsellpheatmapPoissonBinomialR6RColorBrewerRcppRhtslibrlangscalesShiftConvolvePoibinsurvivalviridisLitezlibbioc

Introduction to Rediscover

Rendered fromRediscover.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2023-04-14
Started: 2021-04-07

Readme and manuals

Help Manual

Help pageTopics
A_example dataA_example
A_Matrix dataA_Matrix
AMP_COAD dataAMP_COAD
B_example dataB_example
B_Matrix dataB_Matrix
discoversomaticInteractionsdiscoversomaticInteractions
getMutex functiongetMutex
getMutexAB functiongetMutexAB
getMutexGroup functiongetMutexGroup
getPM functiongetPM
PM_AMP_COAD dataPM_AMP_COAD
PM_COAD dataPM_COAD
An S4 class to store the probabilitiesdim,PMatrix-method PMatrix PMatrix-class [,PMatrix,matrix,missing,ANY-method [,PMatrix,missing,numeric,ANY-method [,PMatrix,numeric,missing,ANY-method [,PMatrix,numeric,numeric,ANY-method
TCGA_COADTCGA_COAD