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一种衡量基因语义相似度的新方法 被引量：2

New measure for semantic similarity of genes
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摘要 提出了一种新的方法来衡量基因之间的语义相似度。本方法的主要原则是同时依赖于GO拓扑结构图中基因注释项之间的路径长度和基因注释项的公共祖先节点在GO拓扑结构图中的深度。用人工数据和取自酵母基因数据库的基因数据进行了实验,结果表明本方法比传统方法更有效。 This paper proposed a novel method to measure the semantic similarity between genes.The key principle of this method relied on both path length between genes＇ annotation terms in the gene ontology and depth of their annotation terms＇ common ancestor node in the gene ontology.A performance study with artificial data and a set of genes from saccharomyces genome database（SGD） has demonstrated that this method is more effective than traditional methods.
作者 张少华 尚学群 王淼
机构地区 西北工业大学计算机学院
出处 《计算机应用研究》 CSCD 北大核心 2011年第3期957-960,968,共5页 Application Research of Computers
基金 国家"863"计划重大资助项目(2009AA01A404) 国家自然科学基金资助项目(60703105) 陕西省自然科学基金资助项目(2007F27)
关键词 路径长度 基因本体项的深度 基因本体项的相似度 基因相似度 path length depth of GO（gene ontology） term GO term similarity gene similarity
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献12

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同被引文献60

  • 1李荣,曹顺良,李园园,谭灏,朱扬勇,钟扬,李亦学.基于语义路径覆盖的Gene Ontology术语间语义相似性度量方法[J].自然科学进展,2006,16(7):916-920. 被引量：12
  • 2JIN Ruo-ming, McCALLEN S, LIU Chun-chi, et al. Identifying dynamic network module with temporal and spatial constraints [ C ]//Proc of Pacific Symposium on Biocomputing. 2009:203-214.
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  • 4ROHIAN H, AN Ai-jun, ZHAO Jia-shu, et al. Discovering temporal associations among significant changes in gene expression [C ]//Proc of IEEE International Conference on Bioinformaties and Biomedicine. Washington DC : IEEE Computer Society,2009:419-423.
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计算机应用研究
2011年 第3期

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