This is the released version of vsclust; for the devel version, see vsclust.
Feature-based variance-sensitive quantitative clusteringBioconductor version: Release (3.21)
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 Schwammle [aut, cre]
Maintainer: Veit Schwammle <veits at bmb.sdu.dk>
Citation (from within R, entercitation("vsclust")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vsclust")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("vsclust")
Details biocViews Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization Version 1.10.0 In Bioconductor since BioC 3.16 (R-4.2) (2.5 years) License GPL-2 Depends R (>= 4.2.0) Imports matrixStats, limma, parallel, shiny, qvalue, grDevices, stats, MultiAssayExperiment, graphics System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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