%0 Journal Article
%T Identification Technique of Essential Nodes in Protein Networks Based on Combined Parameters<br>基于复合参数的蛋白质网络关键节点识别技术
%A HUANG Hai-Bin
%A YANG Lu-Ming
%A WANG Jian-Xin
%A LI Shao-Hua
%A <br>黄海滨
%A 杨路明
%A 王建新
%A 李绍华
%J 自动化学报
%D 2008
%I 
%X The essentiality of a protein is correlated with its topological properties in a bionetwork. Viewing the identification of essential proteins as a special kind of pattern recognition by setting up the quantification of the relationship of molecules --- topological parameter, this paper analyzes the correlation between a protein's essentiality and its main topological parameters, studies the nature of the essential-node-judgement of the parameters, puts forwards theoretically the relation between the identification degree of combined parameters and that of the single parameters involved and the correlation between single parameters, and gives effective construction methods of combined parameters and their asynchronous recognition algorithm. The results show that the identification ability of the technique is obviously greater than that of the others.
%K Essential node
%K pattern recognition
%K combined parameter
%K topological structure
%K protein network<br>关键节点
%K 模式识别
%K 复合参数
%K 拓扑结构
%K 蛋白质网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=AF2AEA26B8F62B7D10135AAF4E671CFE&yid=67289AFF6305E306&vid=339D79302DF62549&iid=708DD6B15D2464E8&sid=77586D59F496BF38&eid=98973A2DBA64FAC9&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=20