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Volumn , Issue , 2008, Pages 393-396

Boosting methods for protein fold recognition: An empirical comparison

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; LEARNING SYSTEMS; NEURAL NETWORKS; PROTEIN FOLDING; STATISTICAL TESTS; SUPPORT VECTOR MACHINES;

EID: 58049140910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2008.83     Document Type: Conference Paper
Times cited : (29)

References (14)
  • 1
    • 0033931867 scopus 로고    scopus 로고
    • Assessing the accuracy of prediction algorithms for classification:an overview
    • P. Baldi, S. Brunak, Y. Chauvin, C. Anderson, and H. Nielsen. Assessing the accuracy of prediction algorithms for classification:an overview. Bioinformatics, 16(5):412-424, 2000.
    • (2000) Bioinformatics , vol.16 , Issue.5 , pp. 412-424
    • Baldi, P.1    Brunak, S.2    Chauvin, Y.3    Anderson, C.4    Nielsen, H.5
  • 2
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • C. 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.1    Dubchak, I.2
  • 3
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: A statistical view of boosting. Annals of Statistics, 28(2):337-407, 2000.
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 4
    • 0033200307 scopus 로고    scopus 로고
    • A systematic comparison of protein structure classifications: Scop, cath and fssp
    • C. Hadley and D. Jones. A systematic comparison of protein structure classifications: Scop, cath and fssp. Biological Science, 7(9):1099-1112, 1999.
    • (1999) Biological Science , vol.7 , Issue.9 , pp. 1099-1112
    • Hadley, C.1    Jones, D.2
  • 5
    • 3042810113 scopus 로고    scopus 로고
    • Hierarchical learning architecture with automatic fearture selection for multiclass protein fold classification
    • C. Huang, C. Lin, and N. Pal. Hierarchical learning architecture with automatic fearture selection for multiclass protein fold classification. IEEE transactions on NanoBioscience, 2(4):221-232, 2003.
    • (2003) IEEE transactions on NanoBioscience , vol.2 , Issue.4 , pp. 221-232
    • Huang, C.1    Lin, C.2    Pal, N.3
  • 6
    • 0033537993 scopus 로고    scopus 로고
    • Genthreader: An efficient and reliable protein fold recognition method for genomic sequences
    • D. Jones. Genthreader: an efficient and reliable protein fold recognition method for genomic sequences. Molecular Biology, 287(4):797-815, 1999.
    • (1999) Molecular Biology , vol.287 , Issue.4 , pp. 797-815
    • Jones, D.1
  • 7
    • 0032438987 scopus 로고    scopus 로고
    • Hidden markov models for detecting remote protein homologies
    • K. Karplus, C. Barrett, and R. Hughey. Hidden markov models for detecting remote protein homologies. Bioinformatics, 14(10):846-856, 1998.
    • (1998) Bioinformatics , vol.14 , Issue.10 , pp. 846-856
    • Karplus, K.1    Barrett, C.2    Hughey, R.3
  • 9
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • C. Lin and C. Hsu. A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks, 13(2):415-425, 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Lin, C.1    Hsu, C.2
  • 11
    • 0027291015 scopus 로고
    • Prediction of protein secondary structure at better 70% accuracy
    • B. Rost and C. Sander. Prediction of protein secondary structure at better 70% accuracy. Journal of Molecular Biology, 232(2):584-599, 1993.
    • (1993) Journal of Molecular Biology , vol.232 , Issue.2 , pp. 584-599
    • Rost, B.1    Sander, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.