Gene regulatory network models based on time series gene expression data: Recent progress
10.3724/SP.J.1008.2008.01106
- Author:
Zhi-Chao JIN
1
Author Information
1. Department of Health Statistics
- Publication Type:Journal Article
- Keywords:
Differential equation;
Dynamic Bayesian networks;
Gene regulatory networks;
Temporal Boolean networks;
Time series
- From:
Academic Journal of Second Military Medical University
2010;29(9):1106-1109
- CountryChina
- Language:Chinese
-
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.
