ARTIVA: Infer a time-varying DBN network from time series data

This package generates Reversible Jump MCMC (RJ-MCMC) sampling for approximating the posterior distribution of a time varying regulatory network, under the Auto Regressive TIme VArying (ARTIVA) model (for a detailed description of the algorithm, see Lebre et al. BMC Systems Biology, 2010). Starting from time-course gene expression measurements for a gene of interest (referred to as "target gene") and a set of genes (referred to as "parent genes") which may explain the expression of the target gene, the ARTIVA procedure identifies temporal segments for which a set of interactions occur between the "parent genes" and the "target gene". The time points that delimit the different temporal segments are referred to as changepoints (CP).

Version: 1.2.2
Depends: MASS, igraph, gplots
Published: 2013-09-09
Author: S. Lebre and G. Lelandais.
Maintainer: S. Lebre <sophie.lebre at lsiit-cnrs.unistra.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ARTIVA results

Downloads:

Reference manual: ARTIVA.pdf
Package source: ARTIVA_1.2.2.tar.gz
MacOS X binary: ARTIVA_1.2.2.tgz
Windows binary: ARTIVA_1.2.2.zip
Old sources: ARTIVA archive