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vsclust

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

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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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 Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization
Version 1.14.0
In Bioconductor since BioC 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
Suggests Me
Links To Me
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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 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/
Package Downloads Report Download Stats