Empowering differential networks using Bayesian analysis.
Differential networks (DN) are important tools for 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 Panel Puller Tool selection for graphical model determination.The algorithm separately estimates t