R: Time-Varying DBN Inference with the ARTIVA (Auto Regressive...
ARTIVA-package
R Documentation
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 <sophie.lebre@icube.unistra.fr>.
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.