| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330956 |
| 005 | | 20241106165144 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438250574 |
| 035 | |
▼a (MiAaPQ)AAI10830441 |
| 035 | |
▼a (MiAaPQ)ucsf:11660 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Targ, Sasha Kiang. |
| 245 | 10 |
▼a Computational Approaches to Cell Type and Interindividual Variation in Autoimmune Disease. |
| 260 | |
▼a [S.l.] :
▼b University of California, San Francisco.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 74 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Jimmie Ye. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Francisco, 2018. |
| 520 | |
▼a Computational approaches offer substantial ability to improve annotation and interpretation of a range of genomic datasets collected with the advent of next generation sequencing technologies, providing an avenue to further understand the impact |
| 520 | |
▼a We also develop a computational tool, demuxlet, for droplet-based single-cell RNA-sequencing (dscRNA-seq) that harnesses natural genetic variation to determine the sample identity of each cell and detect droplets containing two cells. These capa |
| 590 | |
▼a School code: 0034. |
| 650 | 4 |
▼a Bioinformatics. |
| 690 | |
▼a 0715 |
| 710 | 20 |
▼a University of California, San Francisco.
▼b Biological and Medical Informatics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0034 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999435
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |