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A Ranksum Statistics Based Framework To Decipher Transcription Regulation, Iuan-Bor Chen

Arts & Sciences Electronic Theses and Dissertations

The unbiased generation of specific and meaningful hypotheses from the deluge of data generated by modern genomic methods remains a challenge. These datasets require increasing level of expertise to analyze fully, and are often underutilized even in the originating lab. It would be desirable to have a computational strategy that is easy to implement, robust against outliers and missing data, and broadly applicable to diverse experimental designs. In this dissertation, I present a set of ranksum statistics-based analytical methods as a framework to extract testable hypotheses from large and complex datasets. To illustrate its utility, this framework was applied to …