Package: vsclust
Type: Package
Title: Feature-based variance-sensitive quantitative clustering
Version: 1.4.0
Date: 2022-03-23
Authors@R: 
    person(
        "Veit", "Schwaemmle",
        email = "veits@bmb.sdu.dk",
        role = c("aut", "cre")
    )
Description: 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.
License: GPL-2
Imports: matrixStats, limma, parallel, shiny, qvalue, grDevices, stats,
        MultiAssayExperiment, graphics
Suggests: knitr, yaml, testthat (>= 3.0.0), rmarkdown, BiocStyle,
        clusterProfiler
LinkingTo: Rcpp
biocViews: Clustering, Annotation, PrincipalComponent,
        DifferentialExpression, Visualization, Proteomics, Metabolomics
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
Config/testthat/edition: 3
LazyData: false
RoxygenNote: 7.2.1
git_url: https://git.bioconductor.org/packages/vsclust
git_branch: RELEASE_3_18
git_last_commit: c49bf51
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
NeedsCompilation: yes
Packaged: 2023-10-24 23:01:51 UTC; biocbuild
Author: Veit Schwaemmle [aut, cre]
Maintainer: Veit Schwaemmle <veits@bmb.sdu.dk>
Built: R 4.3.1; x86_64-apple-darwin20; 2023-10-25 05:13:08 UTC; unix
