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Program Synthesis for Systems Biology
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Program Synthesis for Systems Biology. |
| 개인저자 | Koksal, Ali Sinan. |
| 단체저자명 | University of California, Berkeley. Computer Science. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 124 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438325265 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Rastislav Bodik |
| 요약 | Cell signaling controls basic cellular activities and coordinates cell actions, such as cell differentiation, division and growth. Consequently, errors in cellular signaling are responsible for diseases such as cancer, autoimmunity, and diabetes |
| 요약 | Executable biology describes mechanistic models of biological processes in a formal language that is dynamic and executable by a computer. Models in executable biology are able to capture complex behaviors of biological systems, such as time and |
| 요약 | This thesis introduces tools to automatically infer executable models at different levels of abstraction from varied types of experimental data. In each case, we investigate identifiability of models when the provided experimental evidence and p |
| 요약 | To evaluate our work, we apply our tools to in vivo, in vitro, and in silico data sets on cellular differentiation and protein signaling. We show that, through explicit characterization of ambiguities in input specifications, our approaches mak |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
