运用布尔网络模型和贝叶斯网络模型推测基因调控网络的比较研究

Comparative Study on Gene Regulatory Network between Boolean Network and Bayesian Network

基因调控网络的研究从基因之间相互作用的角度揭示复杂的生命现象,是功能基因组学研究的重要内容,也是当前生物信息学研究的前沿。布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具。本文分别采用布尔网络模型和贝叶斯网络模式推测基因调控网络,实验结果显示布尔网络推测出了7条正确的调控关系,而贝叶斯网络仅推测出5条正确的调控关系,在本实验中推测基因之间的调控关系正确数布尔网络模型优于贝叶斯网络模型。

Gene regulatory network, which focuses on the complex interactions of genes in life, is an important part in the study of the functional genomics and is the frontier of bioinformatics research. Bayesian network and Boolean network are powerful tools to genetic networks research. Bayesian network and Boolean network are applied to the analysis of the Saccharomyces cerevisiae cell cycle gene expression data. The results show that seven correct for regulatory relations can be inferred from the Boolean network, while only five ones can be inferred from Bayesian network.