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Volumn , Issue , 2004, Pages 415-424

AZuRE, a scalable system for automated term disambiguation of gene and protein names

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTATIONAL LINGUISTICS; GENES; INFORMATION RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL MODELS; METADATA; NATURAL LANGUAGE PROCESSING SYSTEMS; PROTEINS; RNA; STATISTICAL METHODS; THESAURI;

EID: 14044275727     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/csb.2004.1332454     Document Type: Conference Paper
Times cited : (24)

References (18)
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  • 3
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  • 4
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    • Disambiguating proteins, genes, and RNA in text: A machine learning approach
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    • Hatzivassiloglou, V.1    Dubou'e, P.A.2    Rzhetsky, A.3
  • 5
    • 84888907220 scopus 로고    scopus 로고
    • accessed December 2004
    • "LocusLink Database", 2003. ftp://ftp.ncbi.nlm.nih.gov/refseq/ LocusLink/LL_tmpl.gz (accessed December 2004).
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  • 6
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    • Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS
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    • Liu, H.1    Johnson, S.B.2    Friedman, C.3
  • 7
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    • MacNeil, J.S.1
  • 8
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    • RefSeq and LocusLink: NCBI gene-centered resources
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.