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

Wen Juan Hou; Li Che Chen; Chieh Shiang Lu

doi:10.1109/BMEI.2011.6098702

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

資訊工程學系

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	https://doi.org/10.1109/BMEI.2011.6098702
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 10月 15 → 2011 10月 17

出版系列

名字	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
卷	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	2011/10/15 → 2011/10/17

UN SDG

此研究成果有助於以下永續發展目標

SDG 3 健康與福祉

ASJC Scopus subject areas

生物醫學工程
健康資訊學
健康資訊管理

存取文件

10.1109/BMEI.2011.6098702

其它文件與鏈接

引用此

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

Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms. / Hou, Wen Juan; Chen, Li Che; Lu, Chieh Shiang.
Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 1748-1752 6098702 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; 卷 4).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Hou, WJ, Chen, LC & Lu, CS 2011, Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms. 於 Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011., 6098702, Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, 卷 4, 頁 1748-1752, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, 中国, 2011/10/15. https://doi.org/10.1109/BMEI.2011.6098702

Hou WJ, Chen LC, Lu CS. Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms. 於 Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 1748-1752. 6098702. (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011). doi: 10.1109/BMEI.2011.6098702

Hou, Wen Juan ; Chen, Li Che ; Lu, Chieh Shiang. / Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms. Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. 頁 1748-1752 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011).

@inproceedings{cf297aed6cf0416590889d0d947926da,

title = "Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms",

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.",

keywords = "Gene Ontology, bioinformatics, gene-disease association, text mining, word proximity relationship",

author = "Hou, \{Wen Juan\} and Chen, \{Li Che\} and Lu, \{Chieh Shiang\}",

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language = "English",

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AB - 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.

KW - Gene Ontology

KW - bioinformatics

KW - gene-disease association

KW - text mining

KW - word proximity relationship

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

摘要

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ASJC Scopus subject areas

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