SYSTEMS AND METHODS FOR PREDICTIVE NETWORK MODELING FOR COMPUTATIONAL SYSTEMS, BIOLOGY AND DRUG TARGET DISCOVERY

摘要

Systems and methods for predictive network modeling are disclosed. The systems and methods disclosed compute a top-down causal model and a bottom-up predictive model and utilize those models to determine the conditional independence among multiple variables and causality among equivalent variable structures. Before or during modeling, the data is passed through Markov Chain Monte Carlo sampling.