title: Inference of S-system models of genetic networks by solving one-dimensional function optimization problems.
abstract: 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.affiliation: Graduate School of Engineering, Tottori University, 4-101, Koyama-minami, Tottori 680-8552, Japan. kimura@ike.tottori-u.ac.jp
authors.forename: S
authors.initials: S
authors.lastname: Kimura
authors.forename: D
authors.initials: D
authors.lastname: Araki
authors.forename: K
authors.initials: K
authors.lastname: Matsumura
authors.forename: M
authors.initials: M
authors.lastname: Okada-Hatakeyama
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods; D053263:Gene Regulatory Networks; D008957:Models, Genetic; D009716:Numerical Analysis, Computer-Assisted