Application of Random Hierarchical Clustering in Metabolic Networks

摘要：

Computational methods,especially topological structure based methods are increasingly important for the study of more and more biological networks these days.Generally speaking,identification of the communities (or functional modules)is critical for these networks.By using a random hierarchical clustering algorithm,the present paper studied community structure of B.thuringiensis metabolic network (mainly focused on the giant strong component of the network).With the random hierarchical clustering algorithm,we obtained 11 communities for the network,and we also discussed the biological function of these communities.

作者: DING Dewu

作者单位: Department of Mathematics and Computer Science,Chizhou College,Chizhou 247000,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-3

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）