DOI: 10.18129/B9.bioc.vsclust  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see vsclust.

Feature-based variance-sensitive quantitative clustering

Bioconductor version: 3.16

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.

Author: Veit Schwaemmle [aut, cre]

Maintainer: Veit Schwaemmle <veits at bmb.sdu.dk>

Citation (from within R, enter citation("vsclust")):


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HTML R Script VSClust on Bioconductor object
HTML R Script VSClust workflow
PDF   Reference Manual
Text   NEWS


biocViews Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
License GPL-2
Depends R (>= 4.2.0)
Imports matrixStats, limma, parallel, shiny, qvalue, grDevices, stats, MultiAssayExperiment, graphics
LinkingTo Rcpp
Suggests knitr, yaml, testthat (>= 3.0.0), rmarkdown, BiocStyle, clusterProfiler
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package vsclust_1.0.0.tar.gz
Windows Binary vsclust_1.0.0.zip
macOS Binary (x86_64) vsclust_1.0.0.tgz
macOS Binary (arm64) vsclust_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/vsclust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/vsclust
Bioc Package Browser https://code.bioconductor.org/browse/vsclust/
Package Short Url https://bioconductor.org/packages/vsclust/
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