Package: vsclust 1.15.0

Veit Schwammle

vsclust: Feature-based variance-sensitive quantitative clustering

Feature-based variance-sensitive clustering of omics data. Optimizes cluster assignment by taking into account individual feature variance. Includes several modules for statistical testing, clustering and enrichment analysis.

Authors:Veit Schwammle [aut, cre]

vsclust_1.15.0.tar.gz
vsclust_1.15.0.zip(r-4.7)vsclust_1.15.0.zip(r-4.6)vsclust_1.15.0.zip(r-4.5)
vsclust_1.15.0.tgz(r-4.6-x86_64)vsclust_1.15.0.tgz(r-4.6-arm64)vsclust_1.15.0.tgz(r-4.5-x86_64)vsclust_1.15.0.tgz(r-4.5-arm64)
vsclust_1.15.0.tar.gz(r-4.7-arm64)vsclust_1.15.0.tar.gz(r-4.7-x86_64)vsclust_1.15.0.tar.gz(r-4.6-arm64)vsclust_1.15.0.tar.gz(r-4.6-x86_64)
vsclust_1.15.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vsclust/json (API)
NEWS

# Install 'vsclust' in R:
install.packages('vsclust', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On BioConductor:vsclust-1.15.0(bioc 3.24)vsclust-1.14.0(bioc 3.23)

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

clusteringannotationprincipalcomponentdifferentialexpressionvisualizationproteomicsmetabolomicscpp

4.89 score 11 scripts 286 downloads 20 exports 139 dependencies

Last updated from:342d26bda2. Checks:12 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE228
linux-devel-arm64NOTE424
linux-devel-x86_64NOTE592
source / vignettesOK451
linux-release-arm64NOTE423
linux-release-x86_64NOTE467
macos-release-arm64NOTE408
macos-release-x86_64NOTE906
macos-oldrel-arm64NOTE440
macos-oldrel-x86_64NOTE692
windows-develNOTE549
windows-releaseNOTE461
windows-oldrelNOTE469
wasm-releaseOK178

Exports:averageCondcalcBHIClustCompcvalidate.xiebenidetermine_fuzzenrichSTRING_APIestimClust.plotestimClustNummfuzz.plotoptimalClustNumpcaWithVarPrepareForVSClustPrepareSEForVSClustrunClustWrapperrunFuncEnrichrunVSClustAppSignAnalysisSignAnalysisPairedSwitchOrdervsclust_algorithm

Dependencies:abindaisdkAnnotationDbiapeaplotaskpassbase64encBiobaseBiocBaseUtilsBiocGenericsBiostringsbitbit64blobbslibcachemcallrcliclusterclusterProfilercommonmarkcpp11crayoncurlDBIDelayedArraydigestDOSEdplyrenrichitenrichplotevaluatefarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsGenomicRangesggforceggfunggiraphggnewscaleggplot2ggplotifyggrepelggtangleggtreeglueGO.dbGOSemSimgridGraphicsgsongtablehighrhtmltoolshtmlwidgetshttpuvhttrhttr2igraphIRangesisobandjquerylibjsonliteKEGGRESTknitrlabelinglaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeMultiAssayExperimentnlmeopensslotelpatchworkpillarpkgconfigplyrpngpolyclipprocessxpromisespspurrrqvalueR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownRSQLiteS4ArraysS4VectorsS7sassscalesscatterpieSeqinfoshinysourcetoolsSparseArraystatmodstringistringrSummarizedExperimentsyssystemfontstibbletidydrtidyrtidyselecttidytreetinytextreeiotweenrutf8vctrsviridisLitewithrxfunxtableXVectoryamlyulab.utils

VSClust with Bioconductor objects

Veit Schwämmle

Rendered fromIntegrate_With_Bioconductor_Objects.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2024-11-13
Started: 2022-09-23

VSClust workflow

Veit Schwämmle

Rendered fromRun_VSClust_Workflow.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-03-26
Started: 2022-03-23