Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling network...

MOTIVATION Estimating gene regulatory networks over biological lineages is central to a deeper understanding of how cells evolve during development and differentiation. However, one challenge in estimating such evolving networks is that their host cells not only contiguously evolve, but also branch over time. For example, a stem cell evolves into two more specialized daughter cells at each divi...

Comprehensive understanding of human cancer mechanisms requires the identification of a thorough list of cancer-associated genes, which could serve as biomarkers for diagnoses and therapies in various types of cancer. Although substantial progress has been made in functional studies to uncover genes involved in cancer, these efforts are often time-consuming and costly. Therefore, it remains cha...