| 摘要: |
| 基因间的调控是随时间、环境变化的动态事件，基因调控网络是一个连续而复杂的动态系统，基于时间序列的基因组DNA微阵列为研究者提供了构建动态调控网络的工具。本文介绍几种基于时间序列基因表达数据调控网络模型(时序布尔网络、微分方程、动态贝叶斯等)，分析几种模型的优缺点，并展望未来的研究趋势。 |
| 关键词: 时间序列 基因调控网络 时序布尔网络 微分方程 动态贝叶斯 |
| DOI：10.3724/SP.J.1008.2008.01106 |
| 投稿时间：2007-11-16修订日期：2008-03-03 |
| 基金项目:国家自然科学基金(30671821),上海市自然科学基金(04ZR14049) |
|
| Gene regulatory network models based on time series gene expression data:recent progress |
| JIN Zhi-chao,WU Cheng,GAO Qing-bin,JIANG Yang,HE Jia* |
| (Department of Health Statistics,Faculty of Military Health Services,Second Military Medical University,Shanghai 200433,China) |
| 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. |
| Key words: time series gene regulatory networks temporal Boolean networks differential equation dynamic Bayesian networks |
