메뉴 건너뛰기




Volumn 38, Issue 10, 2011, Pages 12348-12355

Margin-based ensemble classifier for protein fold recognition

Author keywords

Adaptive local hyperplane; Amino acid sequence; Ensemble classifier; Protein fold recognition; Support vector machine

Indexed keywords

ADAPTIVE LOCAL HYPERPLANE; AMINO ACID SEQUENCE; CLASSIFICATION METHODS; COMPONENT CLASSIFIERS; DATA COMPLEXITY; DATA SETS; ENSEMBLE CLASSIFIERS; FEATURE SETS; FOLD RECOGNITION; FOLDING PATTERNS; FREQUENCY INFORMATION; FUNCTION PREDICTION; HETEROGENEOUS FEATURES; MARGIN-BASED CLASSIFIERS; PREDICTION ACCURACY; PROTEIN FOLD RECOGNITION; PROTEIN STRUCTURES; SEQUENCE IDENTITY; TRAINING SAMPLE;

EID: 79958012132     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.014     Document Type: Article
Times cited : (42)

References (31)
  • 1
    • 0346494941 scopus 로고    scopus 로고
    • Scop database in 2004: Refinements integrate structure and sequence family data
    • A. Andreeva Scop database in 2004: Refinements integrate structure and sequence family data Nucleic Acids Research 32 2004 226 229
    • (2004) Nucleic Acids Research , vol.32 , pp. 226-229
    • Andreeva, A.1
  • 4
    • 36448960843 scopus 로고    scopus 로고
    • PFRES: Protein fold classification by using evolutionary information and predicted secondary structure
    • DOI 10.1093/bioinformatics/btm475
    • K. Chen, and L. Kurgan PFRES: Protein fold classification by using evolutionary information and predicted secondary structure Bioinformatics 23 2007 2843 2850 (Pubitemid 350162889)
    • (2007) Bioinformatics , vol.23 , Issue.21 , pp. 2843-2850
    • Chen, K.1    Kurgan, L.2
  • 5
    • 0035874091 scopus 로고    scopus 로고
    • Prediction of protein cellular attributes using pseudo amino acid composition
    • K.C. Chou Prediction of protein cellular attributes using pseudo amino acid composition Proteins 43 2001 246 255 (Erratum: ibid., 2001, Vol. 44, 60)
    • (2001) Proteins , vol.43 , pp. 246-255
    • Chou, K.C.1
  • 7
    • 35248893366 scopus 로고    scopus 로고
    • Recognition of structure classification of protein folding by NN and SVM hierarchical learning architecture
    • Springer Istanbul, Turkey
    • I.F. Chung, and C.D. Huang Recognition of structure classification of protein folding by NN and SVM hierarchical learning architecture Lecture notes in computer sciences Vol. 2714 2003 Springer Istanbul, Turkey pp. 1159-1167
    • (2003) Lecture Notes in Computer Sciences , vol.2714
    • Chung, I.F.1    Huang, C.D.2
  • 8
    • 0029174474 scopus 로고
    • Predicting protein folding classes without overly relying on homology
    • M.W. Craven Predicting protein folding classes without overly relying on homology ISMB 3 1995 98 106
    • (1995) ISMB , vol.3 , pp. 98-106
    • Craven, M.W.1
  • 9
    • 43349094032 scopus 로고    scopus 로고
    • Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection
    • DOI 10.1093/bioinformatics/btn112
    • T. Damoulas, and M.A. Girolami Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection Bioinformatics 24 2008 1264 1270 (Pubitemid 351659623)
    • (2008) Bioinformatics , vol.24 , Issue.10 , pp. 1264-1270
    • Damoulas, T.1    Girolami, M.A.2
  • 10
    • 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 2001 349 358 (Pubitemid 32421929)
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 349-358
    • Ding, C.H.Q.1    Dubchak, I.2
  • 11
    • 68149176631 scopus 로고    scopus 로고
    • Prediction of protein folds: Extraction of new features, dimensionality reduction, and fusion of heterogeneous classifiers
    • P. Ghanty, and N.R. Pal Prediction of protein folds: Extraction of new features, dimensionality reduction, and fusion of heterogeneous classifiers IEEE Transactions on NanoBioscience 8 2009 100 110
    • (2009) IEEE Transactions on NanoBioscience , vol.8 , pp. 100-110
    • Ghanty, P.1    Pal, N.R.2
  • 12
    • 54249135817 scopus 로고    scopus 로고
    • A novel hierarchical ensemble classifier for protein fold recognition
    • X. Guo, and X. Gao A novel hierarchical ensemble classifier for protein fold recognition Protein Engineering, Design and Selection 21 2008 659 664
    • (2008) Protein Engineering, Design and Selection , vol.21 , pp. 659-664
    • Guo, X.1    Gao, X.2
  • 13
    • 20744433230 scopus 로고    scopus 로고
    • Fold recognition by combining profile-profile alignment and support vector machine
    • DOI 10.1093/bioinformatics/bti384
    • S. Han Fold recognition by combining profile-profile alignment and support vector machine Bioinformatics 21 2005 2667 2673 (Pubitemid 40852313)
    • (2005) Bioinformatics , vol.21 , Issue.11 , pp. 2667-2673
    • Han, S.1    Lee, B.-C.2    Yu, S.T.3    Jeong, C.-S.4    Lee, S.5    Kim, D.6
  • 14
    • 3042810113 scopus 로고    scopus 로고
    • Hierarchical learning architecture with automatic feature selection for multiclass protein fold classification
    • C.D. Huang Hierarchical learning architecture with automatic feature selection for multiclass protein fold classification IEEE Transactions on NanoBioscience 4 2003 221 232
    • (2003) IEEE Transactions on NanoBioscience , vol.4 , pp. 221-232
    • Huang, C.D.1
  • 15
    • 0034843744 scopus 로고    scopus 로고
    • Support vector machine approach for protein subcellular localization prediction
    • S. Hua, and Z. Sun Support vector machine approach for protein subcellular localization prediction Bioinformatics 17 2001 721 728 (Pubitemid 32851380)
    • (2001) Bioinformatics , vol.17 , Issue.8 , pp. 721-728
    • Hua, S.1    Sun, Z.2
  • 18
    • 24144433779 scopus 로고    scopus 로고
    • Fusion of classifiers for protein fold recognition
    • DOI 10.1016/j.neucom.2005.03.001, PII S0925231205000494
    • L. Nanni Fusion of classifiers for protein fold recognition Neurocomputing 68 2005 315 321 (Pubitemid 41235769)
    • (2005) Neurocomputing , vol.68 , Issue.1-4 , pp. 315-321
    • Nanni, L.1
  • 19
    • 32544440611 scopus 로고    scopus 로고
    • Ensemble of classifiers for protein fold recognition
    • DOI 10.1016/j.neucom.2005.08.006, PII S0925231205002985
    • L. Nanni Ensemble of classifiers for protein fold recognition Neurocomputing 69 2006 850 853 (Pubitemid 43230389)
    • (2006) Neurocomputing , vol.69 , Issue.7-9 SPEC. ISS. , pp. 850-853
    • Nanni, L.1
  • 20
    • 33748419615 scopus 로고    scopus 로고
    • A novel ensemble of classifiers for protein fold recognition
    • DOI 10.1016/j.neucom.2006.01.026, PII S0925231206000932, Brain Inspired Cognitive Systems Selected papers from the 1st International Conference on Brain Inspired Cognitive Systems (BICS 2004)
    • L. Nanni A novel ensemble of classifiers for protein fold recognition Neurocomputing 69 2006 2434 2437 (Pubitemid 44340605)
    • (2006) Neurocomputing , vol.69 , Issue.16-18 , pp. 2434-2437
    • Nanni, L.1
  • 22
    • 0036300562 scopus 로고    scopus 로고
    • A Bayesian network model for protein fold and remote homologue recognition
    • A. Raval A bayesian network model for protein fold and remote homologue recognition Bioinformatics 18 2002 788 801 (Pubitemid 34727639)
    • (2002) Bioinformatics , vol.18 , Issue.6 , pp. 788-801
    • Raval, A.1    Ghahramani, Z.2    Wild, D.L.3
  • 23
    • 36949013631 scopus 로고    scopus 로고
    • Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs
    • DOI 10.1093/bioinformatics/btm527
    • M.T. Shamim Support vector machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs Bioinformatics 23 2007 3320 3327 (Pubitemid 350238884)
    • (2007) Bioinformatics , vol.23 , Issue.24 , pp. 3320-3327
    • Shamim, M.T.A.1    Anwaruddin, M.2    Nagarajaram, H.A.3
  • 24
    • 33747880465 scopus 로고    scopus 로고
    • Ensemble classifier for protein fold pattern recognition
    • H.B. Shen, and K.C. Chou Ensemble classifier for protein fold pattern recognition Bioinformatics 22 2006 1717 1722
    • (2006) Bioinformatics , vol.22 , pp. 1717-1722
    • Shen, H.B.1    Chou, K.C.2
  • 25
    • 16344373015 scopus 로고    scopus 로고
    • Protein homology detection by HMM-HMM comparison
    • J. Soding Protein homology detection by HMM-HMM comparison Bioinformatics 21 2005 951960
    • (2005) Bioinformatics , vol.21 , pp. 951960
    • Soding, J.1
  • 26
    • 79957974392 scopus 로고    scopus 로고
    • Multi-class protein fold classification using a new ensemble machine learning approach
    • A.C. Tan Multi-class protein fold classification using a new ensemble machine learning approach Genome Information 16 2003 206217
    • (2003) Genome Information , vol.16 , pp. 206217
    • Tan, A.C.1
  • 28
    • 2442663920 scopus 로고    scopus 로고
    • Scoring profile-to-profile sequence alignments
    • DOI 10.1110/ps.03601504
    • G. Wang, and R.L. Dunbrack Scoring profile-to-profile sequence alignments Protein Science 13 2004 1612 1626 (Pubitemid 38669249)
    • (2004) Protein Science , vol.13 , Issue.6 , pp. 1612-1626
    • Wang, G.1    Dunbrack Jr., R.L.2
  • 30
    • 56449083499 scopus 로고    scopus 로고
    • Adaptive local hyperplane classification
    • T. Yang, and V. Kecman Adaptive local hyperplane classification Neurocomputing 71 2008 3001 3004
    • (2008) Neurocomputing , vol.71 , pp. 3001-3004
    • Yang, T.1    Kecman, V.2
  • 31
    • 69949089661 scopus 로고    scopus 로고
    • A novel algorithm for learning small medical dataset
    • T. Yang, and V. Kecman A novel algorithm for learning small medical dataset Expert Systems 26 2009 355 359
    • (2009) Expert Systems , vol.26 , pp. 355-359
    • Yang, T.1    Kecman, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.