%0 Journal Article
%T Identifying disease genes based on functional similarity<br>基于功能相似性预测疾病基因
%A YUAN Fang
%A LI Jing
%A <br>袁　芳
%A 李　靖
%J 计算机应用研究
%D 2012
%I 
%X Identifying disease genes is essential for elucidating pathogenesis and developing diagnosis and prevention mea-sures. This paper developed a computational tool, named DGP, to assess candidate genes in interested chromosome regions for their possibility relating to a given disease. DGP prioritized the candidate genes by measuring the functional similarity to the known causative genes of the disease. It evaluated the performance of DGP with a dataset containing 1045 genes related to 305 diseases. The validation results show that 56. 7% and 68. 5% of disease-associated genes are at the top 5% and top 10% of the list prioritized by DGP. Therefore, DGP can effectively help the selection of candidate genes in interested chromosome regions for mutation analysis.
%K candidate gene
%K gene ontology
%K similarity
%K prediction<br>候选基因
%K 基因本体
%K 相似性
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF250AD332A335D73EDC0B9E278857EF&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=21DE548EA2886815&eid=9083D806A23B5A69&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11