DocumentCode
2248789
Title
Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature
Author
Chiang, Jug-Hsien ; Yin, Zong-Xian ; Chen, Cheng-Yu
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
2
fYear
2004
fDate
25-29 July 2004
Firstpage
1165
Abstract
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 lead to an individual G-G network. Graphic presentations are to be used to demonstrate the relationships between gene products.
Keywords
biology computing; data mining; genetics; knowledge acquisition; pattern recognition; biomedical literature knowledge; fuzzy sequential pattern mining; fuzzy sequential sentence patterns; gene-gene interactions; gene-gene relation browser; graphic presentation; information extraction model; Bioinformatics; Biomedical engineering; Biomedical measurements; Computer science; Data mining; Genomics; Humans; Knowledge engineering; Natural languages; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375576
Filename
1375576
Link To Document