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Volumn 21, Issue 15, 2005, Pages 3241-3247

Semi-supervised protein classification using cluster kernels

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN;

EID: 25144481906     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti497     Document Type: Article
Times cited : (160)

References (29)
  • 1
    • 0025183708 scopus 로고
    • A basic local alignment search tool
    • Altschul,S.F. [i#et al.#1i] (1990) A basic local alignment search tool. [i#J. Mol. Biol.#1i], [b#215#1b], 403-410.
    • (1990) J. Mol. Biol. , vol.215 , pp. 403-410
    • Altschul, S.F.1
  • 2
    • 0030801002 scopus 로고    scopus 로고
    • Gapped BLAST and PSI-BLAST: A new generation of protein database search programs
    • Altschul,S.F. [i#et al.#1i] (1997) Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. [i#Nucleic Acids Res.#1i] [b#25#1b], 3389-3402.
    • (1997) Nucleic Acids Res. , vol.25 , pp. 3389-3402
    • Altschul, S.F.1
  • 3
    • 4944225083 scopus 로고    scopus 로고
    • Remote homology detection: A motif based approach
    • Ben-Hur,A. and Brutlag,D. (2003) Remote homology detection: A motif based approach. [i#Bioinformatics#1i], [b#19#1b], i26-i33.
    • (2003) Bioinformatics , vol.19
    • Ben-Hur, A.1    Brutlag, D.2
  • 4
    • 27544501918 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
    • Chapelle,O. [i#et al.#1i] (2002) Cluster kernels for semi-supervised learning. [i#Adv. Neural Inf. Process. Syst.#1i], [b#15#1b], 601-608.
    • (2002) Adv. Neural Inf. Process. Syst. , vol.15 , pp. 601-608
    • Chapelle, O.1
  • 5
  • 6
    • 0001969211 scopus 로고    scopus 로고
    • Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching
    • Gribskov,M. and Robinson,N.L. (1996) Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching. [i#Comput. Chem.#1i], [b#20#1b], 25-33.
    • (1996) Comput. Chem. , vol.20 , pp. 25-33
    • Gribskov, M.1    Robinson, N.L.2
  • 7
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley,J.A. and McNeil,B.J. (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. [i#Radiology#1i], [b#143#1b] 29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 8
    • 0004019973 scopus 로고    scopus 로고
    • Convolution kernels on discrete structures
    • Technical report UCSC-CRL-99-10, University of California, Santa Cruz
    • Haussler,D. (1999) Convolution kernels on discrete structures. [i#Technical report#1i] UCSC-CRL-99-10, University of California, Santa Cruz.
    • (1999)
    • Haussler, D.1
  • 9
    • 0034048878 scopus 로고    scopus 로고
    • A discriminative framework for detecting remote protein homologies
    • Jaakkola,T. [i#et al.#1i] (2000) A discriminative framework for detecting remote protein homologies. [i#J. Comput. Biol.#1i], [b#7#1b], 95-114.
    • (2000) J. Comput. Biol. , vol.7 , pp. 95-114
    • Jaakkola, T.1
  • 10
    • 18544365764 scopus 로고    scopus 로고
    • Probability product kernels
    • Jebara,T. [i#et al.#1i] (2004) Probability product kernels. [i#J. Mach. Learn.#1i], [b#5#1b], 819-844.
    • (2004) J. Mach. Learn. , vol.5 , pp. 819-844
    • Jebara, T.1
  • 12
    • 0028181441 scopus 로고
    • Hidden Markov models in computational biology: Applications to protein modeling
    • Krogh,A. [i#et al.#1i] (1994) Hidden Markov models in computational biology: Applications to protein modeling. [i#J. Mol. Biol.#1i], [b#235#1b] 1501-1531.
    • (1994) J. Mol. Biol. , vol.235 , pp. 1501-1531
    • Krogh, A.1
  • 14
    • 26444581992 scopus 로고    scopus 로고
    • Profile kernels for detecting remote protein homologs and discriminative motifs
    • Kuang,R. [i#et al.#1i] (2005) Profile kernels for detecting remote protein homologs and discriminative motifs. [i#J. Bioinform. Comput. Biol.#1i], [b#3#1b], 1-23.
    • (2005) J. Bioinform. Comput. Biol. , vol.3 , pp. 1-23
    • Kuang, R.1
  • 16
    • 0742301681 scopus 로고    scopus 로고
    • Mismatch string kernels for SVM protein classification
    • Leslie,C. [i#et al.#1i] (2002) Mismatch string kernels for SVM protein classification. [i#Adv. Neural Inf. Process. Syst.#1i], [b#15#1b], 1441-1448.
    • (2002) Adv. Neural Inf. Process. Syst. , vol.15 , pp. 1441-1448
    • Leslie, C.1
  • 18
    • 0242351997 scopus 로고    scopus 로고
    • Text classification using string kernels
    • Lodhi,H. [i#et al.#1i] (2000) Text classification using string kernels. [i#Adv. Neural Inf. Process. Syst.#1i], [b#13#1b], 563-569.
    • (2000) Adv. Neural Inf. Process. Syst. , vol.13 , pp. 563-569
    • Lodhi, H.1
  • 19
    • 0028961335 scopus 로고
    • SCOP: A structural classification of proteins database for the investigation of sequences and structures
    • Murzin,A.G. [i#et al.#1i] (1995) SCOP: A structural classification of proteins database for the investigation of sequences and structures. [i#J. Mol. Biol.#1i], [b#247#1b], 536-540.
    • (1995) J. Mol. Biol. , vol.247 , pp. 536-540
    • Murzin, A.G.1
  • 20
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng,A. [i#et al.#1i] (2001) On spectral clustering: Analysis and an algorithm. [i#Adv. Neural Process. Inform. Syst.#1i], [b#14#1b], 849-856.
    • (2001) Adv. Neural Process. Inform. Syst. , vol.14 , pp. 849-856
    • Ng, A.1
  • 21
    • 0032509105 scopus 로고    scopus 로고
    • Sequence comparisons using multiple sequences detect twice as many remote homologues as pairwise methods
    • Park,J. [i#et al.#1i] (1998) Sequence comparisons using multiple sequences detect twice as many remote homologues as pairwise methods. [i#J. Mol. Biol.#1i], [b#284#1b], 1201-1210.
    • (1998) J. Mol. Biol. , vol.284 , pp. 1201-1210
    • Park, J.1
  • 22
    • 4444273377 scopus 로고    scopus 로고
    • Protein homology detection using string alignment kernels
    • Saigo,H. [i#et al.#1i] (2004) Protein homology detection using string alignment kernels. [i#Bioinformatics#1i], [b#20#1b], 1682-1689.
    • (2004) Bioinformatics , vol.20 , pp. 1682-1689
    • Saigo, H.1
  • 23
    • 0005977840 scopus 로고    scopus 로고
    • Learning with labeled and unlabeled data
    • Technical report, University of Edinburgh, UK
    • Seeger,M. (2001) Learning with labeled and unlabeled data. [i#Technical report#1i], University of Edinburgh, UK.
    • (2001)
    • Seeger, M.1
  • 24
    • 0019887799 scopus 로고
    • Identification of common molecular subsequences
    • Smith,T. and Waterman,M. (1981) Identification of common molecular subsequences. [i#J. Mol. Biol.#1i], [b#147#1b], 195-197.
    • (1981) J. Mol. Biol. , vol.147 , pp. 195-197
    • Smith, T.1    Waterman, M.2
  • 25
    • 0042878370 scopus 로고    scopus 로고
    • Partially labeled classification with Markov random walks
    • Szummer,M. and Jaakkola,T. (2001) Partially labeled classification with Markov random walks. [i#Adv. Neural Inf. Process. Syst.#1i], [b#14#1b], 945-952.
    • (2001) Adv. Neural Inf. Process. Syst. , vol.14 , pp. 945-952
    • Szummer, M.1    Jaakkola, T.2
  • 27
    • 0004202459 scopus 로고    scopus 로고
    • Dynamic alignment kernels
    • Technical report, Royal Holloway, University of London, UK
    • Watkins,C. (1999) Dynamic alignment kernels. Advances in Large Margin Classifiers, 39-50. [i#Technical report#1i], Royal Holloway, University of London, UK.
    • (1999) Advances in Large Margin Classifiers , pp. 39-50
    • Watkins, C.1
  • 28
    • 14044275294 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised protein classification
    • Weston,J. [i#et al.#1i] (2003) Cluster kernels for semi-supervised protein classification. [i#Adv. Neural Inf. Process. Syst.#1i], [b#16#1b], 595-602.
    • (2003) Adv. Neural Inf. Process. Syst. , vol.16 , pp. 595-602
    • Weston, J.1
  • 29
    • 26444592207 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data with label propagation
    • Technical report CMUCALD-02-107, Carnegie Mellon University, Pittsburgh, PA
    • Zhu,X. and Ghahramani,Z. (2002) Learning from labeled and unlabeled data with label propagation. [i#Technical report#1i] CMUCALD-02-107, Carnegie Mellon University, Pittsburgh, PA.
    • (2002)
    • Zhu, X.1    Ghahramani, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.