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Volumn 3, Issue , 2006, Pages 186-189

Protein fold recognition using a structural hidden Markov model

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL BIOLOGISTS; PROTEIN FOLD RECOGNITION; PROTEIN PRIMARY STRUCTURES; STRUCTURAL HIDDEN MARKOV MODELS;

EID: 34147185714     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.949     Document Type: Conference Paper
Times cited : (23)

References (15)
  • 2
    • 10044230328 scopus 로고    scopus 로고
    • Introduction to the concept of structural hmm: Application to mining customers' preferences for automotive designs
    • Cambridge, UK, August
    • D. Bouchaffra and J. Tan. Introduction to the concept of structural hmm: Application to mining customers' preferences for automotive designs. In The 17th International Conference on Pattern Recognition (ICPR), Cambridge, UK, August 2004.
    • (2004) The 17th International Conference on Pattern Recognition (ICPR)
    • Bouchaffra, D.1    Tan, J.2
  • 3
    • 84883690967 scopus 로고    scopus 로고
    • Introduction to structural hidden markov models: Application to handwritten numeral recognition
    • D. Bouchaffra and J. Tan. Introduction to structural hidden markov models: Application to handwritten numeral recognition. Intelligent Data Analysis Journal, 10(1), 2006.
    • (2006) Intelligent Data Analysis Journal , vol.10 , Issue.1
    • Bouchaffra, D.1    Tan, J.2
  • 4
    • 32844467091 scopus 로고    scopus 로고
    • Structural hidden markov models using a relation of equivalence: Application to automotive designs
    • D. Bouchaffra and J. Tan. Structural hidden markov models using a relation of equivalence: Application to automotive designs. Data Mining and Knowledge Discovery Journal, 12(1), 2006.
    • (2006) Data Mining and Knowledge Discovery Journal , vol.12 , Issue.1
    • Bouchaffra, D.1    Tan, J.2
  • 5
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • C. H. Ding and I. Dubchak. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics, 17(4):349-358, 2001.
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 349-358
    • Ding, C.H.1    Dubchak, I.2
  • 6
    • 0029047319 scopus 로고
    • Prediction of protein folding class using global description of amino acid sequence
    • I. Dubchak, I. Muchnik, S. Holbrook, and S. Kim. Prediction of protein folding class using global description of amino acid sequence. Proc. Natl Acad Sci, (92):8700-4, 1995.
    • (1995) Proc. Natl Acad Sci , vol.92 , pp. 8700-8704
    • Dubchak, I.1    Muchnik, I.2    Holbrook, S.3    Kim, S.4
  • 7
    • 21244501361 scopus 로고    scopus 로고
    • A theoretical and experimental analysis of linear combiners for multiple classifier systems
    • Jun
    • G. Fumera and F. Roli. A theoretical and experimental analysis of linear combiners for multiple classifier systems. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(6):942-956, Jun 2005.
    • (2005) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.27 , Issue.6 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 8
    • 34147143927 scopus 로고    scopus 로고
    • L. Hunter and D. J. States. Bayesian classification of protein structural elements. Hawaiian International Conference on Systems Science, 1992.
    • L. Hunter and D. J. States. Bayesian classification of protein structural elements. Hawaiian International Conference on Systems Science, 1992.
  • 10
    • 0028181528 scopus 로고
    • Protein classification by stochastic modeling and optimal filtering of amino-acid sequences
    • Jan
    • W. JV, S. CM, and S. TF. Protein classification by stochastic modeling and optimal filtering of amino-acid sequences. Math Biosci, 119(1):35-75, Jan. 1994.
    • (1994) Math Biosci , vol.119 , Issue.1 , pp. 35-75
    • JV, W.1    CM, S.2    TF, S.3
  • 13
    • 0030628825 scopus 로고    scopus 로고
    • Theory of protein folding: The energy landscape perspective
    • J. N. Onuchic. Theory of protein folding: The energy landscape perspective. Annu. Rev. Phys. Chem., (48):545-600, 1997.
    • (1997) Annu. Rev. Phys. Chem , vol.48 , pp. 545-600
    • Onuchic, J.N.1
  • 14
    • 25144481906 scopus 로고    scopus 로고
    • Semi-supervised protein classification using cluster kernels
    • J. Weston, C. Leslie, E. le, D. Zhou, A. Elisseeff, and W. S. Noble. Semi-supervised protein classification using cluster kernels. Bioinformatics, 21(15):3241-3247, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.15 , pp. 3241-3247
    • Weston, J.1    Leslie, C.2    le, E.3    Zhou, D.4    Elisseeff, A.5    Noble, W.S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.