Polina Suter

The paper introduces bnClustOmics, a Bayesian network mixture model for multi-omics clustering, identifies three HCC subtypes with survival associations, and learns cluster-specific molecular networks.

This paper develops a Bayesian framework for learning dynamic Bayesian networks from time series gene expression data to discover gene regulatory networks in multiple phenotypic groups, showing improved classification accuracy in cancer and therapy response datasets.