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Volumn , Issue , 2006, Pages 91-92

BioKI:Enzymes.an adaptable system to locate low-frequency information in full-text proteomics articles

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85037345392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (3)
  • 1
    • 10244245424 scopus 로고    scopus 로고
    • BioRAT: Extracting biological information from fulllength papers
    • D. P. A. Corney, B.F. Buxton, W.B. Langdon, and D.T. Jones. 2004. BioRAT: Extracting biological information from fulllength papers. Bioinformatics, 20(17):3206-3213.
    • (2004) Bioinformatics , vol.20 , Issue.17 , pp. 3206-3213
    • Corney, D.P.A.1    Buxton, B.F.2    Langdon, W.B.3    Jones, D.T.4
  • 2
    • 23144448699 scopus 로고    scopus 로고
    • GoPubMed: Exploring pubmed with the gene ontology
    • Web Server issue
    • Andreas Doms and Michael Schroeder. 2005. GoPubMed: exploring PubMed with the Gene Ontology. Nucleic Acids Research, 33:W783-W786. Web Server issue.
    • (2005) Nucleic Acids Research, W783-W786 , vol.33
    • Doms, A.1    Schroeder, M.2
  • 3
    • 0001819680 scopus 로고    scopus 로고
    • Texttiling: Segmenting text into multiparagraph subtopic passages
    • M.A. Hearst. 1997. Texttiling: Segmenting text into multiparagraph subtopic passages. Computational Linguistics, 23(1):340-64.
    • (1997) Computational Linguistics , vol.23 , Issue.1 , pp. 340-364
    • Hearst, M.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.