Causal Relationship of Histone Modifications and Gene Expression Indicated by Variable Bayeasian Network Methods

摘要：

Due to involvement in changing of chromatin structure, histone modifications are very important in regulation for gene expression. Some attempts have been done to resolve the relationship among histone modifications and gene expression. In this study, four types of Bayeasian network methods, Maximum weight spanning tree (MWST), K2, Markov Chain Monte Carlo (MCMC) and greedy-search(GS), are used to study causal relationships. On a same dataset, the four methods resulted in different characteristics in causal relationships. MWST and MCMC were fast, but they did not give complete results, and MCMC were not stable. The initial networks had an influence on K2 and GS. In our test, GS could find some relationships that is supported by experiments.

作者: Xueye Duan Hongde Liu Xiao Sun

作者单位: State Key Laboratory of Bioelectronics Southeast University Nanjing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）