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 |
| 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 binaries: | r-release: ARTIVA_1.2.3.tgz, r-oldrel: ARTIVA_1.2.3.tgz |
| Old sources: | ARTIVA archive |
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