Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature

Jung-Hsien Chiang, Zong Xian Yin, Cheng Yu Chen

研究成果: Conference contribution

摘要

We have developed a gene-gene (G-G) relation browser that combines fuzzy sequential pattern mining and information-extraction model to extract from biomedical literature knowledge on gene-gene interactions. Our approach aims to detect associated G-G relations that are often discussed in documents. Integration of the related relations will lead to an individual G-G network. Graphic presentation will be used to demonstrate the relationships between gene products.

原文English
主出版物標題2004 IEEE International Conference on Fuzzy Systems - Proceedings
頁面1165-1168
頁數4
DOIs
出版狀態Published - 2004 十二月 1
事件2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
持續時間: 2004 七月 252004 七月 29

出版系列

名字IEEE International Conference on Fuzzy Systems
2
ISSN(列印)1098-7584

Other

Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
國家Hungary
城市Budapest
期間04-07-2504-07-29

    指紋

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

引用此

Chiang, J-H., Yin, Z. X., & Chen, C. Y. (2004). Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. 於 2004 IEEE International Conference on Fuzzy Systems - Proceedings (頁 1165-1168). (IEEE International Conference on Fuzzy Systems; 卷 2). https://doi.org/10.1109/FUZZY.2004.1375576