DocumentCode
2514041
Title
MUI: A New Functional Similarity Measure for Gene Products Based on Gene Ontology
Author
Hu Qiang ; Zhang Zheng-Guo
Author_Institution
Dept. of Biomed. Eng., CAMS, Beijing, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
6
Abstract
The Gene Ontology (GO) was widely used to annotate gene products, which provide a new way to analyze the relationship between the gene products. Many approaches based on GO were proposed to measure the functional similarity of gene products. In order to improve the accuracy, we proposed a novel method, MUI, to measure functional similarity of gene products combining the information of the interactions between the GO terms and the semantic similarity measures based on the information content. The dataset from OMIM database was used to evaluate these functional similarity measures including MUI, Max, Mean, and Schlicker method. The receiver operating characteristic (ROC) curve illustrated that MUI outperformed the other methods with lower false positive rate and false negative rate.
Keywords
bioinformatics; genetics; molecular biophysics; ontologies (artificial intelligence); semantic networks; MUI; Max; Mean; OMIM database; Schlicker method; false negative rate; false positive rate; functional similarity measure; gene ontology; gene product annotation; receiver operating characteristic curve; semantic similarity measure; Bioinformatics; Biomedical engineering; Biomedical measurements; Cams; Databases; Ontologies; Organizing; Packaging; Proteins; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5163092
Filename
5163092
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