SCBiclust: Identifies Mean, Variance, and Hierarchically Clustered Biclusters

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) <doi:10.1111/biom.13136>. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.

Version:	1.0.1
Depends:	R (≥ 3.4.0)
Imports:	sparcl, sigclust
Published:	2022-06-09
DOI:	10.32614/CRAN.package.SCBiclust
Author:	Erika S. Helgeson, Qian Liu, Guanhua Chen, Michael R. Kosorok , and Eric Bair
Maintainer:	Erika S. Helgeson <helge at umn.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	SCBiclust results

Documentation:

Reference manual:

SCBiclust.pdf

Downloads:

Package source:	SCBiclust_1.0.1.tar.gz
Windows binaries:	r-devel: SCBiclust_1.0.1.zip, r-release: SCBiclust_1.0.1.zip, r-oldrel: SCBiclust_1.0.1.zip
macOS binaries:	r-release (arm64): SCBiclust_1.0.1.tgz, r-oldrel (arm64): SCBiclust_1.0.1.tgz, r-release (x86_64): SCBiclust_1.0.1.tgz, r-oldrel (x86_64): SCBiclust_1.0.1.tgz
Old sources:	SCBiclust archive

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