Mining for gene-related key terms: Where do we find them?

3rd International Symposium on Semantic Mining in Biomedicine, SMBM 2008 - Proceedings

Volumn , Issue , 2008, Pages 157-160

  Tudor, Catalina O ^a   Schmidt, Carl J ^b   Vijay Shanker, K ^a  

^a University of Delaware   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KEY TERM EXTRACTION; TERM OCCURRENCES;

SEMANTICS;

GENES;

EID: 77956181237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Miguel A Andrade and Alfonso Valencia. 1998. Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families. Bioinformatics, 14(7):600-607.
2. Arek Gladki, Pawel Siedlecki, Szymon Kaczanowski, and Piotr Zielenkiewicz. 2008. e-LiSe - an online tool for finding needles in the '(Medline) haystack'. Bioinformatics, 24(8):1115-1117.
3. Jung-Jae Kim, Piotr Pezik, and Dietrich Rebholz-Schuhmann. 2008. MedEvi: Retrieving textual evidence of relations between biomedical concepts from Medline. Bioinformatics.
4. Neil R Smalheiser, Wei Zhou, and Vetle I Torvik. 2008. Anne O'Tate: A tool to support user-driven summarization, drill-down and browsing of PubMed search results. Journal of Biomedical Discovery and Collaboration, 3(1):2-11.
5. Catalina O Tudor, K Vijay-Shanker, and Carl J Schmidt. 2008. Mining the Biomedical Literature for Genic Information. In Proceedings of the Workshop on Current Trends in BioNLP, pages 28-29. Association for Computational Linguistics.