Package: vsclust 1.9.3

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_1.9.3.tar.gz
vsclust_1.9.3.zip(r-4.5)vsclust_1.9.3.zip(r-4.4)vsclust_1.9.3.zip(r-4.3)
vsclust_1.9.3.tgz(r-4.4-x86_64)vsclust_1.9.3.tgz(r-4.4-arm64)vsclust_1.9.3.tgz(r-4.3-x86_64)vsclust_1.9.3.tgz(r-4.3-arm64)
vsclust_1.9.3.tar.gz(r-4.5-noble)vsclust_1.9.3.tar.gz(r-4.4-noble)
vsclust_1.9.3.tgz(r-4.4-emscripten)vsclust_1.9.3.tgz(r-4.3-emscripten)
vsclust.pdf |vsclust.html✨
vsclust/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On BioConductor:vsclust-1.9.0(bioc 3.21)vsclust-1.8.0(bioc 3.20)

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

clusteringannotationprincipalcomponentdifferentialexpressionvisualizationproteomicsmetabolomics

4.48 score 9 scripts 128 downloads 18 exports 88 dependencies

Last updated 8 days agofrom:d51f658034. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64WARNINGNov 14 2024
R-4.5-linux-x86_64WARNINGNov 14 2024
R-4.4-win-x86_64WARNINGNov 14 2024
R-4.4-mac-x86_64WARNINGNov 14 2024
R-4.4-mac-aarch64WARNINGNov 14 2024
R-4.3-win-x86_64WARNINGNov 14 2024
R-4.3-mac-x86_64WARNINGNov 14 2024
R-4.3-mac-aarch64WARNINGNov 14 2024

Exports:averageCondcalcBHIClustCompcvalidate.xiebenidetermine_fuzzestimClust.plotestimClustNummfuzz.plotoptimalClustNumpcaWithVarPrepareForVSClustPrepareSEForVSClustrunClustWrapperrunVSClustAppSignAnalysisSignAnalysisPairedSwitchOrdervsclust_algorithm

Dependencies:abindaskpassbase64encBiobaseBiocBaseUtilsBiocGenericsbslibcachemclicolorspacecommonmarkcpp11crayoncurlDelayedArraydigestdplyrfansifarverfastmapfontawesomefsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehtmltoolshttpuvhttrIRangesisobandjquerylibjsonlitelabelinglaterlatticelifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplyrpromisespurrrqvalueR6rappdirsRColorBrewerRcppreshape2rlangS4ArraysS4VectorssassscalesshinysourcetoolsSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrxtableXVectorzlibbioc

VSClust with Bioconductor objects

Veit Schwämmle

Rendered fromIntegrate_With_Bioconductor_Objects.Rmdusingknitr::rmarkdownon Nov 14 2024.

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

VSClust workflow

Veit Schwämmle

Rendered fromRun_VSClust_Workflow.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2024-11-13
Started: 2022-03-23