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Volumn 3, Issue 3, 1996, Pages 361-373

A learning method of hidden Markov models for sequence discrimination

Author keywords

gradient descent; hidden Markov models; lipocalin family; sequence discrimination; stochastic models

Indexed keywords

LIPOCALIN;

EID: 0029816940     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.1996.3.361     Document Type: Article
Times cited : (18)

References (2)
  • 1
    • 0027174134 scopus 로고
    • Prediction of protein secondary structure by the hidden Markov model
    • Asai, K., Hayamizu, S., and Handa, K. 1993. Prediction of protein secondary structure by the hidden Markov model. Comput. Appl. Biosci. 9, 141-146.
    • (1993) Comput. Appl. Biosci. , vol.9 , pp. 141-146
    • Asai, K.1    Hayamizu, S.2    Handa, K.3
  • 2
    • 0027181134 scopus 로고
    • The PROSITE dictionary of sites and patterns in proteins, its current status
    • Bairoch, A. 1993. The PROSITE dictionary of sites and patterns in proteins, its current status. Nucl. Acids Res 21, 3097-3103.
    • (1993) Nucl. Acids Res , vol.21 , pp. 3097-3103
    • Bairoch, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.