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计算机工程 ›› 2010, Vol. 36 ›› Issue (20): 209-210. doi: 10.3969/j.issn.1000-3428.2010.20.073

• 人工智能及识别技术 • 上一篇    下一篇

基于基因本体的语义相似度研究

魏 韡1,2,向 阳2,陈 千2   

  1. (1. 井冈山大学信息科学与传媒学院,江西 吉安 343009;2. 同济大学电子与信息工程学院,上海 201804)
  • 出版日期:2010-10-20 发布日期:2010-10-18
  • 作者简介:魏 韡(1983-),男,讲师、博士研究生,主研方向:语义网,生物信息学;向 阳,教授、博士生导师,陈 千,博士研究生
  • 基金资助:

    国家自然科学基金资助项目(70771077);国家“863”计划基金资助项目(2008AA04Z106)

Research on Semantic Similarity Based on Gene Ontology

WEI Wei1,2, XIANG Yang2, CHEN Qian2   

  1. (1. College of Information Science and Media, Jinggangshan University, Ji’an 343009, China;2. School of Electronics and Information, Tongji University, Shanghai 201804, China)
  • Online:2010-10-20 Published:2010-10-18

摘要:

针对基因本体的有向无环图结构,提出一种新的计算基因本体中术语间语义相似度的方法。该方法通过计算2个术语的公共祖先及符合条件的不相交祖先,得到不相交祖先的信息量平均值和2个术语的信息量平均值,并将2个平均值的比值作为2个术语的语义相似度。实验结果证明该方法准确度较高。

关键词: 语义相似度, 基因本体, 不相交祖先

Abstract:

Basedon the directed acyclic graph structure of gene ontology, this paper proposes a novel method to measure the semantic similarity of gene ontology terms. By calculating the common ancestors of two terms and the disjunctive ancestors according with the condition, the average information content of disjunctive ancestors and the average information content of the two terms are obtained. The semantic similarity of two terms is the ratio of the average information content of disjunctive ancestors to the average information content of two terms. Experimental results show that the method has high accuracy.

Key words: semantic similarity, gene ontology, disjunctive ancestor

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