摘要
借鉴复杂网络的分析思想和方法,采用规范化Laplace矩阵和K均值聚类法对基因调控网络进行多社团划分,同时给出每个社团内部和社团之间基因的相互作用情况.另外,为反映基因之间真实的相互作用过程和提高建模精度,在社团划分之前,采用时间序列谱分析法对基因表达时延进行精确估计.酵母细胞周期基因调控关系分析的实验结果表明,本文所提方法能更准确地反映基因之间的相互作用过程和提供基因调控模型的细节.
By using the analysis idea and methods of complex network,we adopted a normalized Laplace matrix and a K-mean clustering method to detect multiple communities in a gene regulatory network（GRN）.At the same time,gene-gene interactions both inside a community and among communities were also described.In addition,in order to reflect the actual gene-gene interaction process and to improve the modeling precision of GRN,a time-series spectrum analysis method was used to estimate delay of gene expression before the process of community detecting.Experimental results of the cell cycle-regulated genes of yeast show that the proposed construction method of GRN not only can reflect the actual gene-gene interaction process much exactly but also can provide details about the gene regulator model.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第11期2518-2522,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60804022
No.60974050
No.61072094)
教育部新世纪优秀人才支持计划(No.NCET-08-0836)
江苏省自然科学基金(No.BK2008126)
霍英东青年教师基金(No.121066)
中国博士后科学基金特别资助(No.200902533)
关键词
复杂网络
时延
基因调控网络
社团
complex network
delay
gene regulatory network
community
