ARTIVA: Time-Varying DBN Inference with the ARTIVA (Auto Regressive TIme VArying) Model

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: 1.2.3
Depends: MASS, igraph, gplots
Published: 2015-05-20
Author: S. Lebre and G. Lelandais.
Maintainer: S. Lebre <sophie.lebre at icube.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_1.2.3.tar.gz
Windows binaries: r-devel: ARTIVA_1.2.3.zip, r-release: ARTIVA_1.2.3.zip, r-oldrel: ARTIVA_1.2.3.zip
OS X Snow Leopard binaries: r-release: ARTIVA_1.2.3.tgz, r-oldrel: ARTIVA_1.2.3.tgz
OS X Mavericks binaries: r-release: ARTIVA_1.2.3.tgz
Old sources: ARTIVA archive