biclust: BiCluster Algorithms

The main function biclust provides several algorithms to find biclusters in two-dimensional data: Cheng and Church, Spectral, Plaid Model, Xmotifs and Bimax. In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.

Version: 1.1.0
Depends: R (≥ 2.10), MASS, grid, colorspace, lattice
Imports: methods, flexclust
Suggests: isa2
Published: 2015-03-19
Author: Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova, Martin Sill, Roberto Theron, Luis Quintales, Friedrich Leisch and Ewoud De Troyer.
Maintainer: Sebastian Kaiser <Sebastian.Kaiser at stat.uni-muenchen.de>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Graphics
CRAN checks: biclust results

Downloads:

Reference manual: biclust.pdf
Package source: biclust_1.1.0.tar.gz
Windows binaries: r-devel: biclust_1.1.0.zip, r-release: biclust_1.1.0.zip, r-oldrel: biclust_1.1.0.zip
OS X Snow Leopard binaries: r-release: biclust_1.1.0.tgz, r-oldrel: biclust_1.0.2.tgz
OS X Mavericks binaries: r-release: biclust_1.1.0.tgz
Old sources: biclust archive

Reverse dependencies:

Reverse depends: s4vd, superbiclust
Reverse imports: Anthropometry
Reverse suggests: BcDiag, isa2, rattle, seriation