Browsing by Subject "Bayesian modeling"
Now showing items 1-3 of 3
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(2019-09-16)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, ...
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(2021-04-14)Cancer is a group of diseases characterized by abnormal cell growth. Old cells do not die and grow uncontrollably, forming a mass of tissue, called a tumor. In order to understand this abnormal cell growth, there have been ...
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(2015-04-16)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. ...