simone: Statistical Inference for MOdular NEtworks (SIMoNe)

The R package simone implements the inference of co-expression networks based on partial correlation coefficients from either steady-state or time-course transcriptomic data. Note that with both type of data this package can deal with samples collected in different experimental conditions and therefore not identically distributed. In this particular case, multiple but related networks are inferred on one simone run.

Version: 1.0-2
Depends: R (≥ 2.7), mixer
Published: 2013-12-16
Author: Julien Chiquet, Gilles Grasseau, Camille Charbonnier, Christophe Ambroise.
Maintainer: Julien Chiquet <julien.chiquet at genopole.cnrs.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://stat.genopole.cnrs.fr/software/simone
NeedsCompilation: yes
Citation: simone citation info
Materials: NEWS
CRAN checks: simone results

Downloads:

Reference manual: simone.pdf
Package source: simone_1.0-2.tar.gz
Windows binaries: r-devel: simone_1.0-2.zip, r-release: simone_1.0-2.zip, r-oldrel: simone_1.0-2.zip
OS X Snow Leopard binaries: r-release: simone_1.0-2.tgz, r-oldrel: simone_1.0-2.tgz
OS X Mavericks binaries: r-release: simone_1.0-2.tgz
Old sources: simone archive