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Program Synthesis for Systems Biology

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자료유형E-Book
개인저자Koksal, Ali Sinan.
단체저자명University of California, Berkeley. Computer Science.
서명/저자사항Program Synthesis for Systems Biology.
발행사항[S.l.] : University of California, Berkeley., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항124 p.
소장본 주기School code: 0028.
ISBN9780438325265
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Rastislav Bodik
요약Cell 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
요약Executable 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
요약This 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
요약To 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
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998423

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