Modularity of Cellular Networks in cell cycle process
A focal point of network studies is the determination of their communities or modules, which helps 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. In this research, a state-space model combining temporal topology approach was proposed to characterize the spatio-temporal modules of the cell cycle process. The 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 suggested several hypotheses linking biological processes in specific cell cycle conditions.
cell cycle dynamics modules state-space model
Yueying Yang Di Liu Jun Meng
Department of Information and Computation Science Northeast Agricultural University Harbin, China Heilongjiang Acamedy of Agricultural Sciences Harbin, China
国际会议
哈尔滨
英文
792-795
2012-06-16（万方平台首次上网日期，不代表论文的发表时间）