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中国科学院大学学报 ›› 2012, Vol. ›› Issue (2): 246-250.DOI: 10.7523/j.issn.2095-6134.2012.2.015

• 计算机科学 • 上一篇    下一篇

基于数据融合的多时延基因调控网络的构建

原义涛, 孙应飞   

  1. 中国科学院研究生院信息科学与工程学院, 北京 100049
  • 收稿日期:2011-02-21 修回日期:2011-04-18 发布日期:2012-03-15
  • 通讯作者: 原义涛
  • 基金资助:

    国家自然科学基金(60702035)资助 

Construction of gene regulatory network with multiple time unit lag based on combination of multiple sources of biological data

YUAN Yi-Tao, SUN Ying-Fei   

  1. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-02-21 Revised:2011-04-18 Published:2012-03-15

摘要:

提出一种基于动态贝叶斯网络的基因调控网络重构方法LC-DBN. 该方法寻找各基因最优的调控时延;同时融合时序微阵列数据和转录因子连接位点数据,构建基因调控网络. 对25个酵母基因调控网络进行重构实验,结果显示,构建的网络敏感度较Tan方法提高0.72%,精确度提高0.16%.

关键词: 基因调控网络, 多时延, 数据融合, 动态贝叶斯

Abstract:

We propose a new method (LC-DBN) of gene regulatory network (GRN) construction based on the theory of dynamic Bayesian network. In the process of GRN construction, we learn optimal regulation time unit lag for each gene and combine gene expression data with transcription factor binding location data. The construction experiments on GRN of 25 Saccharomyces Cerevisiae cell cycle data was carried out, and the results indicate that the new method enhances sensitivity by 0.72% and accuracy by 0.16% compared to Tan’s method.

Key words: gene regulation networks, multiple time unit lag, combining multiple sources of biological data, dynamic Bayesian

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