| LDR | | 01675nmm uu200433 4500 |
| 001 | | 000000332762 |
| 005 | | 20240805171534 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438250086 |
| 035 | |
▼a (MiAaPQ)AAI10810150 |
| 035 | |
▼a (MiAaPQ)ucsf:11607 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Kimmel, Jacob Cameron. |
| 245 | 10 |
▼a Inferring Cell State from Cell Behavior. |
| 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 108 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Includes supplementary digital materials. |
| 500 | |
▼a Advisers: Wallace F. Marshall |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Francisco, 2018. |
| 520 | |
▼a Cell populations display heterogeneous and dynamic phenotypic states at multiple scales. Similar to molecular features commonly used to explore cell heterogeneity, cell behavior is a rich phenotypic space that may allow for identification of rel |
| 590 | |
▼a School code: 0034. |
| 650 | 4 |
▼a Cellular biology. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Biophysics. |
| 690 | |
▼a 0379 |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0786 |
| 710 | 20 |
▼a University of California, San Francisco.
▼b Developmental and Stem Cell Biology. |
| 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=T14997922
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |