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Proceedings Paper

GDRMS: a system for automatic extraction of the disease-centre relation
Author(s): Ronggen Yang; Yue Zhang; Lejun Gong
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Paper Abstract

With the rapidly increasing of biomedical literature, the deluge of new articles is leading to information overload. Extracting the available knowledge from the huge amount of biomedical literature has become a major challenge. GDRMS is developed as a tool that extracts the relationship between disease and gene, gene and gene from biomedical literatures using text mining technology. It is a ruled-based system which also provides disease-centre network visualization, constructs the disease-gene database, and represents a gene engine for understanding the function of the gene. The main focus of GDRMS is to provide a valuable opportunity to explore the relationship between disease and gene for the research community about etiology of disease.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834919 (13 January 2012); doi: 10.1117/12.920236
Show Author Affiliations
Ronggen Yang, Huaiyin Institute of Technology (China)
Yue Zhang, Huaiyin Institute of Technology (China)
Lejun Gong, Huaiyin Institute of Technology (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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