文献类型： 会议论文
第一作者： Yang, Yueying
作者： Yang, Yueying 1 ; Liu, Di; Meng, Jun;
作者机构： 1.Northeast Forestry University Postdoctoral Programme, Heilongjiang Acamedy of Agricultural Sciences, Postdoctoral Programme, Department of Information and Computation Science, Northeast Agricultural University, Harbin, China
会议名称： IEEE International Conference on Systems Biology
主办单位：
页码： 180-184
摘要： The focus of the network of research is to determine their community or module, it helps the functional organization and evolution of the network. Modular can be seen as a function of a dynamic cell system executing complex functions in a living cell. How to identify the precious knowledge resources to build a more reliable module is still one of the most important and difficult problems in bioinformatics. We put forward a state space model combining the topological method to describe the time and space module in the cell cycle of the process. Not only our module function sets of genes related to identify a condition to activate or suppress in the cell cycle process in S.cerevisiae, but also have many different solutions, which have evolved into different molecular components will be the assembly at the right time in the cell cycle. The resulting module mapping analysis showed several assumptions connection biological process to a particular cell cycle conditions.
分类号： q81-53
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