| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000329874 |
| 005 | | 20241016160104 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780355981780 |
| 035 | |
▼a (MiAaPQ)AAI10824318 |
| 035 | |
▼a (MiAaPQ)ucla:16733 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 590 |
| 100 | 1 |
▼a Shu, Le. |
| 245 | 10 |
▼a Uncovering the Molecular Networks of Metabolic Diseases Using Systems Biology. |
| 260 | |
▼a [S.l.] :
▼b University of California, Los Angeles.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 191 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Includes supplementary digital materials. |
| 500 | |
▼a Adviser: Xia Yang. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 506 | |
▼a This item is not available from ProQuest Dissertations & Theses. |
| 520 | |
▼a The past few decades have seen dramatic increase in the prevalence of metabolic diseases (MetDs) including obesity, type 2 diabetes (T2D) and cardiovascular disease (CVD), imposing unprecedented burden on public health worldwide. MetDs stem from |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Systematic biology. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0423 |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Molec, Cell, & Integ Physiology 0568. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998645
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |