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020 ▼a 9780438036550
035 ▼a (MiAaPQ)AAI10789987
035 ▼a (MiAaPQ)upenngdas:13179
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 574
1001 ▼a Hu, Yu.
24510 ▼a Statistical Methods for Alternative Splicing Using RNA Sequencing.
260 ▼a [S.l.]: ▼b University of Pennsylvania., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 113 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Mingyao Li.
5021 ▼a Thesis (Ph.D.)--University of Pennsylvania, 2018.
520 ▼a The emergence of RNA-seq technology has made it possible to estimate isoform-specific gene expression and detect differential alternative splicing between conditions, thus providing us an effective way to discover disease susceptibility genes. A
590 ▼a School code: 0175.
650 4 ▼a Biostatistics.
690 ▼a 0308
71020 ▼a University of Pennsylvania. ▼b Epidemiology and Biostatistics.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0175
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997540 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033