Package: vsclust
Type: Package
Title: Feature-based variance-sensitive quantitative clustering
Version: 1.0.0
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_16
git_last_commit: 53f16ce
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: yes
Packaged: 2022-11-02 03:56:09 UTC; biocbuild
Author: Veit Schwaemmle [aut, cre]
Maintainer: Veit Schwaemmle <veits@bmb.sdu.dk>
Built: R 4.2.1; x86_64-w64-mingw32; 2022-11-02 14:32:33 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
