A Synthesis Method of Gene Regulatory Networks based on Gene Expression by Network Learning

A Synthesis Method of Gene Regulatory Networks based on Gene Expression by Network Learning

Yoshihiro Mori (Kyoto Institute of Technology, Japan) and Yasuaki Kuroe (Kyoto Institute of Technology, Japan)
DOI: 10.4018/978-1-60566-685-3.ch011


Investigating gene regulatory networks is important to understand mechanisms of cellular functions. Recently, the synthesis of gene regulatory networks having desired functions has become of interest to many researchers because it is a complementary approach to understanding gene regulatory networks, and it could be the first step in controlling living cells. In this chapter, we discuss a synthesis problem in gene regulatory networks by network learning. The problem is to determine parameters of a gene regulatory network such that it possesses given gene expression pattern sequences as desired properties. We also discuss a controller synthesis method of gene regulatory networks. Some experiments illustrate the performance of this method.
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There are several other studies on analysis and synthesis of gene regulatory networks. For examples, Hasty and Isaacs (2001) consider the gene regulatory network models described by nonlinear differential equations based on chemical reactions and investigate parameter regions such that they possess oscillatory behavior. Rodrigo et al. (2007) propose a synthesis method of gene regulatory network models such that they possess desired behavior, e. g. logical functions. Guido et al., 2006, Weiss et al., 2003 discuss a method for synthesizing rather complex gene regulatory networks by using simple gene regulatory networks as parts of them.

Key Terms in this Chapter

Network learning: method solving optimization problem

Discrete-time network: network described by difference equations

Synthesis method: method of synthesizing gene regulatory networks possessing desired behavior

Gene Regulatory Network: network describing interactions among genes

Expression pattern sequence: describe changes of expression levels of genes

Expression Pattern: describe expression levels of genes

Controller synthesis problem: synthesis problem of controller gene regulatory networks

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