A synthesis method of gene networks based on gene expression by network learning-realization of separatrix

Abstract

Investigating gene regulatory networks is important to understand mechanism of cellular functions. Recently, synthesis of an artificial gene regulatory network which has desired functions is of interest to many researchers because it is a complementary approach to understanding gene regulatory networks, and it can be the first step to controlling living cells. We have already proposed a synthesis method of gene regulatory network models based on given gene expression pattern sequences by network learning. In this paper, we propose a synthesis method of a gene network whose dynamics has separatrices. Numerical experiments are given to demonstrate the performance of the proposed method.