A measure of semantic similarity between gene ontology terms based on semantic pathway covering

被引：1

作者：

LI Rong CAO Shunliang LI Yuanyuan TAN Hao ZHU Yangyong ZHONG Yang and LI Yixue Department of Computing and Information Technology Fudan University Shanghai China ^{[200433
]}

Shanghai Center for Bioinformation Technology Shanghai China ^{[200235
]}

School of Life Sciences Fudan University Shanghai China ^{[200433
]}

Bioinforrnation Center of Shanghai Institute for Biological Sciences Chinese Academy of Sciences Shanghai China ^{[200031
]}

机构：

来源：

ProgressinNaturalScience | 2006年 / 07期

关键词：

Gene Ontology; semantic similarity measure; information content;

D O I：

暂无

中图分类号：

Q811.4 [生物信息论];

学科分类号：

0711 ; 0831 ;

摘要：

<正>Semantic similarity between Gene Ontology (GO) terms is critical in resolving semantic heterogeneousness when integrating heterogeneous biological databases. Traditionally, distance based and information content based measures are two major methods. In this paper, a new method based on semantic pathway covering is proposed and an algorithm, COMBINE algorithm, is presented, which considers information contents of two given nodes and those of all nodes included in the two nodes' pathways. Experiments show that COMBINE algorithm obtains the highest correlation index compared with those distance based and information content based algorithms.

引用

页码：721 / 726

页数：6