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

Recently there have been increasing research interests in synthesizing gene networks and several studies have been done. The motivations of those studies are in two ways. One is that the construction of engineered gene networks having desired properties is a complementary approach to investigating mechanism and functions of gene networks. The other is that the construction of gene networks could be a first step to tackling the control problem of living cells. In this paper, we propose a synthesis method of gene network by network learning. The problem is to determine parameters of a gene network such that it possesses given gene expression pattern sequences as desired properties. The proposed method can deal with the problem of a wider class of gene networks. We also show that the proposed method can be applied to the controller synthesis problem of gene networks. Some experiments illustrate performance of the proposed method