vsclust
Feature-based variance-sensitive quantitative clustering
Bioconductor version: 3.24 · Package version: 1.15.9
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vsclust")Details
| Maintainer | Veit Schwammle <veits@bmb.sdu.dk> |
| Author | Veit Schwammle [aut, cre] |
| License | GPL-2 |
| Downloads rank | 400 |
| Source branch | devel |
| biocViews | Annotation, Clustering, DifferentialExpression, Metabolomics, PrincipalComponent, Proteomics, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | vsclust_1.15.9.tar.gz |
| Windows binary (x86_64) | vsclust_1.15.9.zip |
| macOS binary (arm64) | vsclust_1.15.9.tgz |
| macOS binary (x86_64) | vsclust_1.15.9.tgz |
Dependencies
Depends: R (>= 4.2.0)
Imports: matrixStats, limma, parallel, shiny, qvalue, grDevices, stats, MultiAssayExperiment, clusterProfiler, DOSE, httr, graphics
LinkingTo: Rcpp
Suggests: knitr, yaml, testthat (>= 3.0.0), rmarkdown, BiocStyle, httr, magick