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Houston, Texas USA
May 27, 2003 to May 31, 2003
ISBN: 0-7695-1939-3
pp: 113
Yueyu Fu , Indiana University
Javed Mostafa , Indiana University
Kazuhiro Seki , Indiana University
ABSTRACT
Protein association discovery can directly contribute toward developing protein pathways; hence it is a significant problem in bioinformatics. LUCAS (Library of User-Oriented Concepts for Access Services) was designed to automatically extract and determine associations among proteins from biomedical literature. Such a tool has notable potential to automate database construction in biomedicine, instead of relying on experts? analysis. This paper reports on the mechanisms for automatically generating clusters of proteins. A formal evaluation of the system, based on a subset of 2000 MEDLINE titles and abstracts, has been conducted against Swiss-Prot database in which the associations among concepts are entered by experts manually.
INDEX TERMS
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CITATION
Yueyu Fu, Javed Mostafa, Kazuhiro Seki, "Protein Association Discovery in Biomedical Literature", JCDL, 2003, Digital Libraries, Joint Conference on, Digital Libraries, Joint Conference on 2003, pp. 113, doi:10.1109/JCDL.2003.1204848
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