Estimation of Directed Interactions from Sequences Of Nonhomogeneous gene expression
The R package EDISON runs an MCMC simulation to reconstruct networks from time series data, using a non-homogeneous, time-varying dynamic Bayesian network. Networks segments and changepoints are inferred concurrently, and information sharing priors provide a reduction of the inference uncertainty.
For model description, see:
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regu- larization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.
CRAN Version: http://cran.r-project.org/web/packages/EDISON/index.html
Install from GitHub
library('devtools')
install_github('FrankD/EDISON/Package/Version_X_Y/EDISON')