loading...
Protein Association Discovery in Biomedical Literature
Houston, Texas USA May 27-May 31
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/JCDL.2003.1204848Third ACM/IEEE-CS Joint Conference on ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Usage of this product signifies your acceptance of the Terms of Use.


Suggestions