Modeling Of Hierarchical Structural Of Biological Network

In this paper, the hierarchical structure of biological networks is regarded as the mainresearch object based on the theory of granular computing, and the analysis method andapplication of structural clustering is discussed based on fuzzy proximity relation. Thespecific work of this paper is summarized as follows:In chapter one, the biological networks and its topological properties, granularcomputing and structure clustering the theory and research progress, hierarchical structure ofbiological network the research progress both at home and abroad, and the main work andinnovations of this paper are introduced briefly.In chapter two, the characteristics vector of the protein sequence similarity isdefinitioned based on inner product, the protein network is built through similarity. To coarsegraining information extraction, complete graph clustering and algorithm is given based onthe fuzzy k-means clustering and complete graph. The hierarchical structure model of proteinnetwork is built by using structure clustering method based on fuzzy adjacent relation.In chapter three, from the perspective of data mining and hierarchical structure model ofbiological networks, the internal information of the H1N1flu virus data is extracted, a systemof H1N1flu virus evolutionary tree is constructed, and the related conclusion of variation andevolution of virus are given.In chapter four, combining22455H1N1flu virus HA protein sequences and16444viruses and NA protein sequence in1902-2013global data and hierarchical structure model ofbiological networks, the new model of the H1N1virus is constructed, and new model areanalyzed by combining the conclusion in chapter three.In chapter five, the whole work is summarized. Besides, the thoughts and ideas of furtherresearch are pointed out.