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

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

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

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 will lead to an individual G-G network. Graphic presentation will be used to demonstrate the relationships between gene products.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1165-1168
Number of pages4
DOIs
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: 2004 Jul 252004 Jul 29

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2
ISSN (Print)1098-7584

Other

Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
CountryHungary
CityBudapest
Period04-07-2504-07-29

Fingerprint

Sequential Patterns
Genes
Gene
Gene Networks
Information Extraction
Mining

All Science Journal Classification (ASJC) codes

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

Cite this

Chiang, J-H., Yin, Z. X., & Chen, C. Y. (2004). Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. In 2004 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1165-1168). (IEEE International Conference on Fuzzy Systems; Vol. 2). https://doi.org/10.1109/FUZZY.2004.1375576
Chiang, Jung-Hsien ; Yin, Zong Xian ; Chen, Cheng Yu. / Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. 2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. pp. 1165-1168 (IEEE International Conference on Fuzzy Systems).
@inproceedings{38c05c054cf64d6aa102014cde0badef,
title = "Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature",
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 will lead to an individual G-G network. Graphic presentation will be used to demonstrate the relationships between gene products.",
author = "Jung-Hsien Chiang and Yin, {Zong Xian} and Chen, {Cheng Yu}",
year = "2004",
month = "12",
day = "1",
doi = "10.1109/FUZZY.2004.1375576",
language = "English",
isbn = "0780383532",
series = "IEEE International Conference on Fuzzy Systems",
pages = "1165--1168",
booktitle = "2004 IEEE International Conference on Fuzzy Systems - Proceedings",

}

Chiang, J-H, Yin, ZX & Chen, CY 2004, Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. in 2004 IEEE International Conference on Fuzzy Systems - Proceedings. IEEE International Conference on Fuzzy Systems, vol. 2, pp. 1165-1168, 2004 IEEE International Conference on Fuzzy Systems - Proceedings, Budapest, Hungary, 04-07-25. https://doi.org/10.1109/FUZZY.2004.1375576

Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. / Chiang, Jung-Hsien; Yin, Zong Xian; Chen, Cheng Yu.

2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. p. 1165-1168 (IEEE International Conference on Fuzzy Systems; Vol. 2).

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

TY - GEN

T1 - Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature

AU - Chiang, Jung-Hsien

AU - Yin, Zong Xian

AU - Chen, Cheng Yu

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=11144345844&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11144345844&partnerID=8YFLogxK

U2 - 10.1109/FUZZY.2004.1375576

DO - 10.1109/FUZZY.2004.1375576

M3 - Conference contribution

AN - SCOPUS:11144345844

SN - 0780383532

T3 - IEEE International Conference on Fuzzy Systems

SP - 1165

EP - 1168

BT - 2004 IEEE International Conference on Fuzzy Systems - Proceedings

ER -

Chiang J-H, Yin ZX, Chen CY. Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. In 2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. p. 1165-1168. (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2004.1375576