%0 Journal Article
%T Predicting cancer-causative genes based on protein-protein interaction network<br>基于蛋白质相互作用网络预测癌症致病基因
%A YUAN Fang
%A LI Jing
%A ZHOU Yan-hong
%A <br>袁　芳
%A 李　靖
%A 周艳红
%J 计算机应用研究
%D 2012
%I 
%X By analyzing the topological features in PPIsprotein-protein interactions network based on nearest neighbor search, this paper evaluated the possibilities of candidate genes to be cancer-causative genes. A large scale test shows that 26% and 90% target genes are at the top 5% and top 50% of the list prioritized, the approach can identify cancer genes with high performance.
%K disease gene
%K cancer
%K protein-protein interaction
%K prediction<br>疾病基因
%K 癌症
%K 蛋白质相互关系
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9B3C227A81E2A28C3EE394FF358E2D95&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=871478C86F5C40E0&eid=60E4F925F9CA1CAA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8