• 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