Gene regulatory network models based on time series gene expression data: Recent progress / 第二军医大学学报

ABSTRACT

Regulation between genes is a dynamic event associated with changes of time and circumstances. Gene regulatory network is a complicated and dynamic system. Time series gene microarray provides a tool for creating dynamic gene regulatory network. In this paper,we review several models of dynamic gene regulatory network based on time series gene expression data, including temporal Boolean network,differential equation,dynamic Bayesian networks,etc.. The advantages and disadvantages of the models were analyzed and the future of the research is predicted.