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ClassDiscovery (version 3.4.11)

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

Description

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.

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Version

Install

install.packages('ClassDiscovery')

Monthly Downloads

2,241

Version

3.4.11

License

Apache License (== 2.0)

Maintainer

Kevin Coombes

Last Published

September 24th, 2026

Functions in ClassDiscovery (3.4.11)

BootstrapClusterTest

Class "BootstrapClusterTest"
mahalanobisQC

Using Mahalanobis Distance and PCA for Quality Control
distanceMatrix

Distance Matrix Computation
hclust

Class "hclust"
GenePCA

Class "GenePCA"
SamplePCA

Class "SamplePCA"
plotColoredClusters

Plot Dendrograms with Color-Coded Labels
justClusters

Get the List of Classes From A Clustering Algorithm
PCanova

Class "PCanova"
PerturbationClusterTest

The PerturbationClusterTest Class
Mosaic

Class "Mosaic"
cluster3

Cluster a Dataset Three Ways
ClusterTest-class

Class "ClusterTest"
aspectHeatmap

Heatmap with control over the aspect ratio