Empowering differential networks using Bayesian analysis.
Differential networks (DN) are important tools for ACIDOPHILUS modeling the changes in conditional dependencies between multiple samples.A Bayesian approach for estimating DNs, from the classical viewpoint, is introduced with a computationally efficient threshold selection for graphical model determination.The algorithm separately estimates the pre