计算机工程2011，Vol.37Issue(4)：27-28,39,3.DOI:10.3969/j.issn.1000-3428.2011.04.010
基于文本挖掘与功能相似性的疾病基因预测
Disease Gene Prediction Based on Text Mining and Functional Similarity
摘要
Abstract
Existing disease gene prediction methods mostly go on prediction by using various annotation information of disease gene, but there are.many diseases without any known pathogenic genes or related function annotations. Aiming at this problem, this paper presents a disease gene prediction based on text mining and functional similarity. It obtains disease-related gene ontology terminology through the data mining, uses functional similarity to analyze related degree between genes and disease, sorts for all candidate genes according to the related degree to identify virulence genes. Test result shows that this method can predict virulence genes which have no known functional annotation.关键词
疾病基因预测/基因本体/文本挖掘/功能相似性Key words
disease gene prediction/ Gene Ontology(GO)/ text mining/ functional similarity分类
生物科学引用本文复制引用
袁芳,王瑞春,管明样,万学元,何国荣,周艳红..基于文本挖掘与功能相似性的疾病基因预测[J].计算机工程,2011,37(4):27-28,39,3.基金项目
国家自然科学基金资助项目(90608020) （90608020）
深圳信息职业技术学院博士创新基金资助项目(BC2009011) （BC2009011）
