Fig. 1

A schematic illustration of the proposed Bayesian prior construction approach for a binary-classification problem. Information contained in the biological signaling pathways and their corresponding regulating functions is transformed to prior probabilities by MKDIP. Previously observed sample points (labeled or unlabeled) are used along with the constructed priors to design a Bayesian classifier to classify a new sample point (patient)