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Title:Global Optimization in Systems Biology and Bioinformatics
Author(s):Chang, Youngjung
Doctoral Committee Chair(s):Sahinidis, Nikolaos V.
Department / Program:Chemical Engineering
Discipline:Chemical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Biology, Bioinformatics
Abstract:Identification of transcription factor binding motif and sites is a crucial effort to elucidate gene regulatory networks and its combinatorial problem is NP -hard. In this thesis, the problem is modeled as an integer linear program with weak assumptions on the binding pattern. A computationally efficient formulation and linearization scheme is developed and the resulting problem is solved to global optimality. The proposed formulation successfully solved the CRP problem to identify its binding motif and sites simultaneously.
Issue Date:2006
Type:Text
Language:English
Description:150 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
URI:http://hdl.handle.net/2142/82390
Other Identifier(s):(MiAaPQ)AAI3250223
Date Available in IDEALS:2015-09-25
Date Deposited:2006


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