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020 ▼a 9780438403796
035 ▼a (MiAaPQ)AAI10935608
035 ▼a (MiAaPQ)wisc:15790
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 310
1001 ▼a Chen, Kailei.
24510 ▼a Simultaneous Analysis of Large Scale Datasets in Different ChIP-seq Problem Settings.
260 ▼a [S.l.] : ▼b The University of Wisconsin - Madison., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 85 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Sunduz Keles.
5021 ▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.
520 ▼a Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a common genomics tool for studying regulation of transcription. Analyses of ChIP-seq data typically concern: i) binding state inference, which aims at detecting the DNA loci occ
520 ▼a Chapter 2 introduces a MAP-based Asymptotic Derivations from Bayes (MAD-Bayes) method based on strong assumptions in MBASIC framework. This results in a K-means-like optimization algorithm which converges rapidlyThe fast-converging nature enable
520 ▼a In Chapter 3, I extends the MAD-Bayes MBASIC to the allele-specific analysis setting, via a variance-stabilizing transformation, enabling the method to apply discrete distributions in both binding state and allele-specific binding problems. Appl
590 ▼a School code: 0262.
650 4 ▼a Statistics.
690 ▼a 0463
71020 ▼a The University of Wisconsin - Madison. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0262
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001196 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자