Farhad Shokoohi (Mathematical Sciences) published a paper titled, "Data-Driven Identification of Early Cancer-Associated Genes via Penalized Trans-Dimensional Hidden Markov Models," in Biomolecules Journal. The paper proposes a new protocol and a case study for analyzing cancer epigenetic data. The proposed methodology is based on two of his recently developed methods for identifying differential methylation and analyzing survival using a sparse, finite mixture of accelerated failure time regression models, focusing on key genes and pathways in cancer datasets.