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Model Based Visualization of Structure in Biological Data

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개인저자Dey, Kushal K.
단체저자명The University of Chicago. Statistics.
서명/저자사항Model Based Visualization of Structure in Biological Data.
발행사항[S.l.] : The University of Chicago., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항130 p.
소장본 주기School code: 0330.
ISBN9780438371170
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Matthew Stephens.
요약Biological Data comes in varied forms and the scale of the data is typically large, which often necessitates distinct modeling frameworks and tools to process, analyze and visually summarize the data. An overarching theme of this doctoral thesis
요약The second chapter of this thesis extends the concept of a mixed membership model, popularly known as ADMIXTURE model in population genetics and topic model in Natural Language Processing (NLP), to the context of RNA-sequencing read expression
요약The third chapter extends similar mixed membership models to analyzing DNA damage patterns in ancient DNA (aDNA) samples, and explore and jointly summarize multiple aDNA samples together with modern samples. Applied to a combined data of modern
요약The visual summary of DNA damage patterns, depicted above, includes a version of logo plot that highlights enrichment and depletion of damage features with respect to a background level of mismatch features computed from modern individuals. We c
요약In the fifth chapter, we propose an adaptive method for shrinking correlation matrices that leads to a parsimonious representation of the underlying association structure between variables. This method is flexible in handling data matrices with
일반주제명Biostatistics.
Bioinformatics.
Genetics.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999898

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