vsclust
This is the development version of vsclust; for the stable release version, see vsclust.
Feature-based variance-sensitive quantitative clustering
Bioconductor version: Development (3.19)
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")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("vsclust")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization |
| Version | 1.5.0 |
| In Bioconductor since | BioC 3.16 (R-4.2) (1.5 years) |
| License | GPL-2 |
| Depends | R (>= 4.2.0) |
| Imports | matrixStats, limma, parallel, shiny, qvalue, grDevices, stats, MultiAssayExperiment, graphics |
| System Requirements | |
| URL |
See More
| Suggests | knitr, yaml, testthat (>= 3.0.0), rmarkdown, BiocStyle, clusterProfiler |
| Linking To | Rcpp |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git 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/ |
| Package Downloads Report | Download Stats |