simone: Statistical Inference for MOdular NEtworks (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: 1.0-4
Depends: R (≥ 3.1.1), blockmodels
Published: 2019-02-03
Author: Julien Chiquet ORCID iD [aut, cre], Gilles Grasseau [aut], Christophe Ambroise [aut], Camille Charbonnier [ctb], Alexander Smith [ctb], Catherine Matias [ctb]
Maintainer: Julien Chiquet <julien.chiquet at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: simone citation info
Materials: README NEWS
CRAN checks: simone results


Reference manual: simone.pdf
Package source: simone_1.0-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: simone_1.0-4.tgz, r-oldrel: simone_1.0-4.tgz
Old sources: simone archive


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