ARTIVA-package: Time-Varying DBN Inference with the ARTIVA (Auto Regressive...

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

Description

This package generates 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).

Details

Package:	ARTIVA
Type:	Package
Version:	1.2.3
Date:	2015-05-19
License:	GPL (>=2)
LazyLoad:	yes

Author(s)

S. Lebre and G. Lelandais.

Maintainer: S. Lebre <[e-mail]>.

References

Statistical inference of the time-varying structure of gene-regulation networks S. Lebre, J. Becq, F. Devaux, M. P. H. Stumpf, G. Lelandais, BMC Systems Biology, 2010, 4:130.

ARTIVA documentation built on May 1, 2019, 6:31 p.m.