| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000331878 |
| 005 | | 20241120155251 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438175174 |
| 035 | |
▼a (MiAaPQ)AAI10826909 |
| 035 | |
▼a (MiAaPQ)washington:18616 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 519 |
| 100 | 1 |
▼a Wang, Yue. |
| 245 | 10 |
▼a Some Problems in Stochastic Dynamics and Statistical Analysis of Single-cell Biology of Cancer. |
| 260 | |
▼a [S.l.] :
▼b University of Washington.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 168 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Hong Qian. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2018. |
| 520 | |
▼a With the development of experimental apparatus and data processing softwares, one now has easy access to cancer related data on a single cell, its genome and/or molecular compositions. At this level of description, stochasticity is a significant |
| 520 | |
▼a In the first part, we study the cancer cell growth data with statistics, and build stochastic models to show that there exists multiple phenotypes in seemingly homogeneous cells. In the second part, we use branching processes to explain the phen |
| 590 | |
▼a School code: 0250. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Biology. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0306 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a University of Washington.
▼b Applied Mathematics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0250 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998954
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |