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SCBiclust (version 1.0.2)

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

Description

Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) . 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.

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Version

Install

install.packages('SCBiclust')

Monthly Downloads

222

Version

1.0.2

License

MIT + file LICENSE

Maintainer

Erika Helgeson

Last Published

August 20th, 2025

Functions in SCBiclust (1.0.2)

PermBiclust.sigclust_stop

'SCBiclust' method for identifying means-based biclusters with optional cluster significance testing
VarPermBiclust.chisqdiff

'SCBiclust' method for identifying variance-based biclusters
PermBiclust.sigclust

'SCBiclust' method for identifying means-based biclusters
PermBiclust.beta.ks

'SCBiclust' method for identifying means-based biclusters with Kolmogorov-Smirnov test of feature weights
PermHclust.sigclust

'SCBiclust' method for identifying hierarchically clustered biclusters