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

Wen Juan Hou*, Li Che Chen, Chieh Shiang Lu

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
頁面1748-1752
頁數5
DOIs
出版狀態已發佈 - 2011
事件2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, 中国
持續時間: 2011 十月 152011 十月 17

出版系列

名字Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
4

其他

其他2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
國家/地區中国
城市Shanghai
期間2011/10/152011/10/17

ASJC Scopus subject areas

  • 生物醫學工程
  • 健康資訊學
  • 健康資訊管理

指紋

深入研究「Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms」主題。共同形成了獨特的指紋。

引用此