ARTIVA: Time-Varying DBN Inference with the ARTIVA (Auto Regressive TIme VArying) Model
Version 1.2.3

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

AuthorS. Lebre and G. Lelandais.
Date of publication2015-05-20 01:09:27
MaintainerS. Lebre <[email protected]>
LicenseGPL (>= 2)
Version1.2.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ARTIVA")

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ARTIVA documentation built on May 29, 2017, 9:04 a.m.