This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixin

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line-To shed light on signaling network topology in specic contexts, such as cancer, requires interrogation of multiple proteins through time and statistical approaches to make