cobiclust: Biclustering via Latent Block Model Adapted to Overdispersed Count Data

Implementation of a probabilistic method for biclustering adapted to overdispersed count data. It is a Gamma-Poisson Latent Block Model. It also implements two selection criteria in order to select the number of biclusters.

Version: 0.1.0
Imports: cluster
Published: 2018-10-15
Author: Julie Aubert
Maintainer: Julie Aubert <julie.aubert at agroparistech.fr>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: cobiclust results

Downloads:

Reference manual: cobiclust.pdf
Package source: cobiclust_0.1.0.tar.gz
Windows binaries: r-devel: cobiclust_0.1.0.zip, r-release: cobiclust_0.1.0.zip, r-oldrel: cobiclust_0.1.0.zip
OS X binaries: r-release: cobiclust_0.1.0.tgz, r-oldrel: cobiclust_0.1.0.tgz

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