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vsclust

This is the released version of vsclust; for the devel version, see vsclust.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16

Feature-based variance-sensitive quantitative clustering


Bioconductor version: Release (3.23)

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, enter citation("vsclust")):

Veit Schwammle. vsclust: Feature-based variance-sensitive quantitative clustering. doi:10.18129/B9.bioc.vsclust, R package version 1.14.0, https://bioconductor.org/packages/vsclust.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("vsclust")
VSClust on Bioconductor object HTML R Script
VSClust workflow HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization
Version1.14.0
In Bioconductor sinceBioC 3.16 (R-4.2) (4 years)
License GPL-2
Depends R (>= 4.2.0)
Imports matrixStats, limma, parallel, shiny, qvalue, grDevices, stats, MultiAssayExperiment, clusterProfiler, DOSE, httr, graphics
System Requirements
URL
See More
Suggests knitr, yaml, testthat (>= 3.0.0), rmarkdown, BiocStyle, httr, magick
Linking To Rcpp
Enhances
Depends On Me
Imports Me
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Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package vsclust_1.14.0.tar.gz
Windows Binary (x86_64) vsclust_1.14.0.zip
macOS Binary (big-sur-x86_64) vsclust_1.14.0.tgz
macOS Binary (sonoma-arm64) vsclust_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/vsclust
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/vsclust
Package Short Url https://bioconductor.org/packages/vsclust/
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