MARC보기
LDR00000nmm u2200205 4500
001000000330306
00520241029095719
008181129s2018 ||| | | | eng d
020 ▼a 9780438371170
035 ▼a (MiAaPQ)AAI10843117
035 ▼a (MiAaPQ)uchicago:14510
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 574
1001 ▼a Dey, Kushal K.
24510 ▼a Model Based Visualization of Structure in Biological Data.
260 ▼a [S.l.] : ▼b The University of Chicago., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 130 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Matthew Stephens.
5021 ▼a Thesis (Ph.D.)--The University of Chicago, 2018.
520 ▼a Biological 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
520 ▼a The 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
520 ▼a The 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
520 ▼a The 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
520 ▼a In 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
590 ▼a School code: 0330.
650 4 ▼a Biostatistics.
650 4 ▼a Bioinformatics.
650 4 ▼a Genetics.
690 ▼a 0308
690 ▼a 0715
690 ▼a 0369
71020 ▼a The University of Chicago. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0330
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999898 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자