Package: vsclust
Encoding: UTF-8
Type: Package
Title: Feature-based variance-sensitive quantitative clustering
Version: 1.13.0
Date: 2022-03-23
Authors@R: 
    person(
        "Veit", "Schwammle",
        email = "[email protected]",
        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,
  clusterProfiler,
  DOSE,
  httr,
  graphics
Suggests:
    knitr,
    yaml,
    testthat (>= 3.0.0),
    rmarkdown,
    BiocStyle,
    httr
LinkingTo: Rcpp
biocViews: 
  Clustering,
  Annotation,
  PrincipalComponent,
  DifferentialExpression,
  Visualization,
  Proteomics,
  Metabolomics
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
Config/testthat/edition: 3
LazyData: false
RoxygenNote: 7.3.2