Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms

Wen Juan Hou, Li Che Chen, Chieh Shiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Associating genes with diseases is an active area of research because it is useful for helping human health with applications to clinical diagnosis and therapy. This paper proposes two methods to guide the associations between genes and diseases: (1) making use of the proximity relationship between genes and diseases and (2) utilizing GO terms shared by genes and diseases for similarity comparison. The experiments show that associations utilizing GO terms perform better than using word proximity. The results reveal that the GO terms act as a good gene-disease association feature.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages1748-1752
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: 2011 Oct 152011 Oct 17

Publication series

NameProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume4

Other

Other2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period11/10/1511/10/17

Keywords

  • Gene Ontology
  • bioinformatics
  • gene-disease association
  • text mining
  • word proximity relationship

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Hou, W. J., Chen, L. C., & Lu, C. S. (2011). Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (pp. 1748-1752). [6098702] (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 4). https://doi.org/10.1109/BMEI.2011.6098702