Attractor estimation and model refinement for stochastic regulatory network models

Using an expectation maximization procedure and reporter protein measurements from patients, we simultaneously refine a pre-existing stochastic regulatory network model and perform an attractor state estimation that will be used to improve therapeutic performance given the diseased tissue context of a particular patient.