We develop a Bayesian framework for the analysis of high-throughput sequencing count data under a variety of settings, removing sophisticated ad-hoc pre-processing steps commonly required in existing algorithms. Specifically, ...

This dissertation focuses on methodology to integrate multiplatform genomic data with cancer applications. Such integration facilitates the discovery of biological information crucial to the development of targeted treatments. ...