Document Detail


Inference of S-system models of genetic networks by solving one-dimensional function optimization problems.
MedLine Citation:
PMID:  22155075     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Voit and Almeida have proposed the decoupling approach as a method for inferring the S-system models of genetic networks. The decoupling approach defines the inference of a genetic network as a problem requiring the solutions of sets of algebraic equations. The computation can be accomplished in a very short time, as the approach estimates S-system parameters without solving any of the differential equations. Yet the defined algebraic equations are non-linear, which sometimes prevents us from finding reasonable S-system parameters. In this study, we propose a new technique to overcome this drawback of the decoupling approach. This technique transforms the problem of solving each set of algebraic equations into a one-dimensional function optimization problem. The computation can still be accomplished in a relatively short time, as the problem is transformed by solving a linear programming problem. We confirm the effectiveness of the proposed approach through numerical experiments.
Authors:
S Kimura; D Araki; K Matsumura; M Okada-Hatakeyama
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-12-2
Journal Detail:
Title:  Mathematical biosciences     Volume:  -     ISSN:  1879-3134     ISO Abbreviation:  -     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0103146     Medline TA:  Math Biosci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Graduate School of Engineering, Tottori University, 4-101, Koyama-minami, Tottori 680-8552, Japan.
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