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Volumn 37, Issue 6, 2004, Pages 461-470

Improving the performance of dictionary-based approaches in protein name recognition

Author keywords

Approximate string search; Naive Bayes classifier; Protein name recognition; Spelling variant generator

Indexed keywords

APPROXIMATION THEORY; GLOSSARIES; PROBABILITY; PROTEINS;

EID: 8444232801     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2004.08.003     Document Type: Article
Times cited : (76)

References (23)
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    • Berger, A.L.1    Pietra, S.A.D.2    Pietra, V.J.D.3
  • 11
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    • A guided tour to approximate string matching
    • G. Navarro A guided tour to approximate string matching ACM Comput Surveys 33 1 2001 31 88
    • (2001) ACM Comput Surveys , vol.33 , Issue.1 , pp. 31-88
    • Navarro, G.1
  • 20
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    • Automatic acquisition and classification of molecular biology terminology using a tagged corpus
    • N. Collier, C. Nobata, and J. Tsujii Automatic acquisition and classification of molecular biology terminology using a tagged corpus J. Terminol. 7 2 2001 239 258
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    • Collier, N.1    Nobata, C.2    Tsujii, J.3
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    • Tagging gene and protein names in biomedical text
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    • Tanabe, L.1    Wilbur, W.J.2
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    • Using BLAST for identifying gene and protein names in journal articles
    • M. Krauthammer, A. Rzhetsky, P. Morozov, and C. Friedman Using BLAST for identifying gene and protein names in journal articles Gene 259 2000 245 252
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.