Package: runibic 1.27.0

Patryk Orzechowski

runibic: runibic: row-based biclustering algorithm for analysis of gene expression data in R

This package implements UbiBic algorithm in R. This biclustering algorithm for analysis of gene expression data was introduced by Zhenjia Wang et al. in 2016. It is currently considered the most promising biclustering method for identification of meaningful structures in complex and noisy data.

Authors:Patryk Orzechowski, Artur Pańszczyk

runibic_1.27.0.tar.gz
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runibic.pdf |runibic.html
runibic/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/athril/runibic/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On BioConductor:runibic-1.27.0(bioc 3.20)runibic-1.26.0(bioc 3.19)

bioconductor-package

10 exports 0.82 score 83 dependencies

Last updated 2 months agofrom:7694c09559

Exports:backtrackLCSBCUnibicBCUnibicDcalculateLCSclusterpairwiseLCSrunibicruniDiscretizeset_runibic_paramsunisort

Dependencies:abindadditivityTestsaskpassbiclustBiobaseBiocGenericsbriocallrclassclicolorspacecpp11crayoncurlDelayedArraydescdiffobjdigestdplyrevaluatefansifarverflexclustfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemodeltoolsmunsellnlmeopensslpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RColorBrewerRcpprematch2rlangrprojrootS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystestthattibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewaldowithrXVectorzlibbioc

runibic: UniBic in R Tutorial

Rendered fromrunibic.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2018-09-20
Started: 2017-10-04