Multiple Modal Adaptive Estimation using Boolean Kalman Filter

The inference of Boolean gene regulatory networks observed through noise is concern of this package. The algorithm is based on the optimal MMSE state estimator for a Boolean dynamical system, known as the Boolean Kalman Filter (BKF). In the presence of partial knowledge about the network, a bank of BKFs representing the candidate models is run in parallel in a Bayesian framework known as a multiple model adaptive estimation (MMAE). Reference: Imani, Mahdi, and Ulisses Braga-Neto. "Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation." 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015.