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).
Package details |
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Author | S. Lebre and G. Lelandais. |
Maintainer | S. Lebre <sophie.lebre@icube.unistra.fr> |
License | GPL (>= 2) |
Version | 1.2.3 |
Package repository | View on CRAN |
Installation |
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