ClassDiscovery: Classes and Methods for "Class Discovery" with Microarrays or Proteomics

Defines the classes used for "class discovery" problems in the OOMPA project (<>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.

Version: 3.4.5
Depends: R (≥ 3.0), cluster, oompaBase (≥ 3.0.1)
Imports: methods, stats, graphics, grDevices, mclust, oompaData, Biobase
Suggests: xtable
Published: 2024-04-28
DOI: 10.32614/CRAN.package.ClassDiscovery
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc at>
License: Apache License (== 2.0)
NeedsCompilation: no
Materials: NEWS
CRAN checks: ClassDiscovery results


Reference manual: ClassDiscovery.pdf
Vignettes: OOMPA Mahalanobis Distance
OOMPA ClassDiscovery


Package source: ClassDiscovery_3.4.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ClassDiscovery_3.4.5.tgz, r-oldrel (arm64): ClassDiscovery_3.4.5.tgz, r-release (x86_64): ClassDiscovery_3.4.5.tgz, r-oldrel (x86_64): ClassDiscovery_3.4.5.tgz
Old sources: ClassDiscovery archive

Reverse dependencies:

Reverse depends: Modeler, PCDimension, Thresher
Reverse imports: GenAlgo, Mercator, rnaCrosslinkOO, RPointCloud
Reverse suggests: parameters, plasma


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