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Volumn 20, Issue 6, 2005, Pages 19-25

Choosing the optimal hidden Markov model for secondary-structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODEL; SECONDARY-STRUCTURE PROTEINS;

EID: 30344434603     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2005.102     Document Type: Review
Times cited : (10)

References (11)
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  • 2
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  • 3
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  • 4
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
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    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 6
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    • A modified definition of SOV, a segment-based measure for protein secondary structure prediction assessment
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    • Zemla, A.1
  • 7
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    • Karchin, R.1
  • 8
    • 26444452027 scopus 로고    scopus 로고
    • Protein secondary structure assignment revisited: A detailed analysis of different assignment methods
    • Sept.
    • J. Martin et al., "Protein Secondary Structure Assignment Revisited: A Detailed Analysis of Different Assignment Methods," BMC Structural Biology, Sept. 2005; www.biomedcentral.com/1472-6807/5/17.
    • (2005) BMC Structural Biology
    • Martin, J.1
  • 9
    • 0029619259 scopus 로고
    • Knowledge-based protein secondary structure assignment
    • D. Frishman and P. Argos, "Knowledge-Based Protein Secondary Structure Assignment," Proteins, vol. 23, no. 4, 1995, pp. 566-579.
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  • 10
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.