Abstract
In this article, we introduce one of the mathematical systems science approaches for gene regulatory networks. A Boolean network is utilized as a mathematical model of gene regulatory networks. First, the outline of Boolean networks is explained. Next, to easily deal with Boolean networks, the matrix-based representation is introduced. The problem of finding details of models from known knowledge is considered, and its solution method using the matrix-based representation is explained. Examples are also presented.
