Text analysis of MEDLINE for discovering functional relationships among genes: evaluation of keyword extraction weighting schemes

International Journal of Data Mining and Bioinformatics

Volumn 1, Issue 1, 2006, Pages 88-110

  Liu, Ying ^a   Navathe, Shamkant B ^b   Pivoshenko, Alex ^b   Dasigi, Venu G ^c   Dingledine, Ray ^d   Ciliax, Brian J ^d  

^a The University of Texas at Dallas   (United States)

^b Georgia Institute of Technology   (United States)

^c SOUTHERN POLYTECHNIC STATE UNIVERSITY   (United States)

^d EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

BEA PARTITION; clustering analysis; information extraction; MEDLINE; microarray; text analysis

Indexed keywords

ARTICLE; FUNGAL GENE; GENE EXPRESSION REGULATION; INFORMATION PROCESSING; LINGUISTICS; MEDLINE; PHYSIOLOGY; SACCHAROMYCES CEREVISIAE;

AUTOMATIC DATA PROCESSING; GENE EXPRESSION REGULATION, FUNGAL; GENES, FUNGAL; MEDLINE; SACCHAROMYCES CEREVISIAE; VOCABULARY, CONTROLLED;

EID: 34548535829     PISSN: 17485673     EISSN: 17485681     Source Type: Journal    
DOI: 10.1504/IJDMB.2006.009923     Document Type: Article

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