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

Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). 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 silicovore.com>
License: Apache License (== 2.0)
URL: http://oompa.r-forge.r-project.org/
NeedsCompilation: no
Materials: NEWS
CRAN checks: ClassDiscovery results

Documentation:

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

Downloads:

Package source: ClassDiscovery_3.4.5.tar.gz
Windows binaries: r-devel: ClassDiscovery_3.4.5.zip, r-release: ClassDiscovery_3.4.5.zip, r-oldrel: ClassDiscovery_3.4.5.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClassDiscovery to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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