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Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03)
Protein Association Discovery in Biomedical Literature
Houston, Texas USA
May 27-May 31
ISBN: 0-7695-1939-3
Yueyu Fu, Indiana University
Javed Mostafa, Indiana University
Kazuhiro Seki, Indiana University
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.
Citation:
Yueyu Fu, Javed Mostafa, Kazuhiro Seki, "Protein Association Discovery in Biomedical Literature," jcdl, pp.113, Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03), 2003
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