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Volumn 20, Issue 18, 2004, Pages 3613-3619

Training HMM structure with genetic algorithm for biological sequence analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; CAMPYLOBACTER JEJUNI; CONTROLLED STUDY; GENE MUTATION; GENE SEQUENCE; GENETIC ALGORITHM; GENETIC CODE; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; SEQUENCE ANALYSIS; START CODON; STATISTICS; STOP CODON; TATA BOX; VALIDATION PROCESS;

EID: 12344325673     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth454     Document Type: Article
Times cited : (42)

References (13)
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  • 4
    • 0039829846 scopus 로고
    • Motif extraction using an improved iterative duplication method for HMM topology learning
    • Fujiwara,Y., Asogawa,M. and Konagaya,A. (1995) Motif extraction using an improved iterative duplication method for HMM topology learning. In Pacific Symposium on Biocumputing'96, pp. 713-714.
    • (1995) Pacific Symposium on Biocumputing'96 , pp. 713-714
    • Fujiwara, Y.1    Asogawa, M.2    Konagaya, A.3
  • 7
    • 0037423768 scopus 로고    scopus 로고
    • RpoD promoters in Campylobacter jejuni exhibit a strong periodic signal instead of a - 35 box
    • Petersen,L., Larsen,T.S., Ussery,D.W., On,S.L.W., and Krogh,A. (2003) RpoD promoters in Campylobacter jejuni exhibit a strong periodic signal instead of a - 35 box. J. Mol. Biol., 326 1361-1372.
    • (2003) J. Mol. Biol. , vol.326 , pp. 1361-1372
    • Petersen, L.1    Larsen, T.S.2    Ussery, D.W.3    On, S.L.W.4    Krogh, A.5
  • 8
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner,L.R. (1989) A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE., 77, 257-286.
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    • Rabiner, L.R.1
  • 10
    • 12344255659 scopus 로고
    • DNA sequence analysis using hidden markov model and genetic algorithm
    • Yada,T., Ishikawa,M., Tanaka,H. and Asai,K. (1994) DNA sequence analysis using hidden markov model and genetic algorithm. In Genome Informatics, Vol. 5, pp. 178-179.
    • (1994) Genome Informatics , vol.5 , pp. 178-179
    • Yada, T.1    Ishikawa, M.2    Tanaka, H.3    Asai, K.4
  • 11
    • 12344313025 scopus 로고
    • Generation of hidden markov model describing complex motif in DNA sequences
    • Yada,T., Totoki,Y., Asai,K. and Ishikawa,M. (1995) Generation of hidden markov model describing complex motif in DNA sequences. IPSJ Trans., 750-767.
    • (1995) IPSJ Trans. , pp. 750-767
    • Yada, T.1    Totoki, Y.2    Asai, K.3    Ishikawa, M.4
  • 12
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    • Stochastic models representing DNA sequence data - Construction algorithms and their applications to prediction of gene structure and function
    • PhD thesis, University of Tokyo, Tokyo
    • Yada,T. (1998) Stochastic models representing DNA sequence data - construction algorithms and their applications to prediction of gene structure and function. PhD thesis, University of Tokyo, Tokyo.
    • (1998)
    • Yada, T.1
  • 13
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    • Evolving artificial neural networks
    • Yao,X. (1999) Evolving artificial neural networks. Proc. IEEE., 87, 1423-1447.
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