Package: MCbiclust 1.36.0

Robert Bentham

MCbiclust: Massive correlating biclusters for gene expression data and associated methods

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

Authors:Robert Bentham

MCbiclust_1.36.0.tar.gz
MCbiclust_1.36.0.zip(r-4.7)MCbiclust_1.36.0.zip(r-4.6)MCbiclust_1.36.0.zip(r-4.5)
MCbiclust_1.36.0.tgz(r-4.6-any)MCbiclust_1.36.0.tgz(r-4.5-any)
MCbiclust_1.36.0.tar.gz(r-4.7-any)MCbiclust_1.36.0.tar.gz(r-4.6-any)
MCbiclust_1.36.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MCbiclust/json (API)

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

On BioConductor:MCbiclust-1.37.0(bioc 3.24)MCbiclust-1.36.0(bioc 3.23)

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

immunooncologyclusteringmicroarraystatisticalmethodsoftwarernaseqgeneexpression

4.00 score 2 scripts 476 downloads 1 mentions 14 exports 115 dependencies

Last updated from:f886e923f1 (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR271
linux-devel-x86_64OK535
source / vignettesOK343
linux-release-x86_64OK538
macos-release-arm64OK317
macos-oldrel-arm64OK316
windows-develOK419
windows-releaseOK402
windows-oldrelOK428
wasm-releaseOK206

Exports:CorScoreCalcCVEvalCVPlotFindSeedForkClassifierGOEnrichmentAnalysisHclustGenesHiCorMultiSampleSortPrepPC1AlignPC1VecFunPointScoreCalcSampleSortSilhouetteClustGroupsThresholdBic

Dependencies:AnnotationDbiaskpassbackportsbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbslibcachemcheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tableDBIdigestdoParalleldplyrdynamicTreeCutevaluatefarverfastclusterfastmapfontawesomeforcatsforeachforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGGallyggplot2ggstatsglueGO.dbgridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttrimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelifecyclemagrittrMatrixmatrixStatsmemoisemimennetopensslorg.Hs.eg.dbpatchworkpillarpkgconfigpngpreprocessCoreprettyunitsprogresspurrrR6rappdirsRColorBrewerRcpprlangrmarkdownrpartRSQLiterstudioapiS4VectorsS7sassscalesSeqinfosnowstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLiteWGCNAwithrxfunXVectoryaml

Introduction to MCbiclust

Robert Bentham

Rendered fromMCbiclust_vignette.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2024-02-11
Started: 2016-08-17