Modeling Gene Regulatory Network Based on Genetic Programming

The purpose to establish the gene regulatory network model is to study the interaction relationship between genes on the system level, and thus to understand the essentials of creatures activity. Currently, the mainstream methods for modeling either prerequire the regulatory relationship or are not able to demonstrate the dynamics of the regulatory network. This paper proposes a model based on differential equation, to study gene regulatory network using Genetic Programming. This method is able to adjust to continuously external changes; search for the regulatory models suitable for the experiment data using genetic operators; and realize the prediction for the random regulatory relationship between genes. Based on the experiment, and compared with linear differential equation model, the calculation result is better suitable for the experiment data. This method is sufficient for the gene regulatory network structure reconstruction.