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).
|Depends:||MASS, igraph, gplots|
|Author:||S. Lebre and G. Lelandais.|
|Maintainer:||S. Lebre <sophie.lebre at icube.unistra.fr>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||ARTIVA results|
|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 El Capitan binaries:||r-release: ARTIVA_1.2.3.tgz|
|OS X Mavericks binaries:||r-oldrel: ARTIVA_1.2.3.tgz|
|Old sources:||ARTIVA archive|
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