Researching on Functional Modules in E. coli Metabolic Network Based on Simulated Annealing Algorithm
Topological methods have been developed to study the fundamental organizational principles of large-scale metabolic networks for years. However, the most important two topological characteristics (small-world and scale-free) could not provide sufficient characterizations of the metabolic networks. To discover functional information involved in metabolic networks, we need identify functional modules. In this paper, after formal introducing clustering coefficient and modularity, two important properties related to functional modules in networks, we study functional modules in E. coli (an important gram-negative bacterium) metabolism based on simulated annealing algorithm, which tries to find the optimal modules by maximizing the network modularity.
Clustering Coefficient Modularity Scale-free Small-world
DING Dewu HE Xiaoqing LU Kezhong WU Pu
Department of Mathematics and Computer Science, Chizhou College, P.R.China, 247000 Department of Environment Resources and Tourism, Chizhou College, P.R.China, 247000
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-4
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）