文章基本信息

标题：KNOWLEDGE-BASED MODULARITY OF CELLULAR NETWORKS IN CELL CYCLE
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作者：YANG YUEYING ; LIU DI ; MENG JUN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：50
期号：1
出版社：Journal of Theoretical and Applied
摘要：A focal point of network studies is the determination of their communities or modules, which help the functional organization and evolution of networks. Modularity can be considered as a function of a dynamic cellular system which performs complex functions in a living cell. How to identify this valuable knowledge resource to build more reliable modules remains one of the most crucial and challenging problems in Bioinformatics. We propose a state-space model combining temporal topology approach to characterize the spatio-temporal modules of the cell cycle process. Our modules discern not only the functionally related sets of genes that are conditionally activated or repressed across cell cycle process in S.cerevisiae, but also many different solutions which have evolved for assembling the different molecular components at the right time during the cell cycle. The module map generated by this analysis suggests several hypotheses linking biological processes to specific cell cycle conditions.
关键词：Cell Cycle; Dynamics; Modules; State-Space Model