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Volumn , Issue , 2013, Pages 1869-1875

Protein Function Prediction by Integrating Multiple Kernels

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFIERS; COMPOSITE KERNELS; HIGH THROUGHPUT EXPERIMENTS; INTEGRATING INFORMATION; MULTIPLE KERNEL LEARNING; OBJECTIVE FUNCTIONS; OPTIMAL CLASSIFIERS; PROTEIN FUNCTION PREDICTION;

EID: 84896063179     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (19)
  • 4
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    • Multilabel multiple kernel learning by stochastic approximation: Application to visual object recognition
    • S.S. Bucak, R. Jin, and A.K. Jain. Multilabel multiple kernel learning by stochastic approximation: Application to visual object recognition. Advances in Neural Information Processing Systems, 24:325-333, 2010.
    • (2010) Advances in Neural Information Processing Systems , vol.24 , pp. 325-333
    • Bucak, S.S.1    Jin, R.2    Jain, A.K.3
  • 5
    • 84865223440 scopus 로고    scopus 로고
    • Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
    • N. Cesa-Bianchi, M. Re, and G. Valentini. Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. Machine Learning, 88(1-2):209-241, 2012.
    • (2012) Machine Learning , vol.88 , Issue.1-2 , pp. 209-241
    • Cesa-Bianchi, N.1    Re, M.2    Valentini, G.3
  • 10
    • 84883575579 scopus 로고    scopus 로고
    • Fast string kernels using inexact matching for protein sequences
    • C. Leslie and R. Kuang. Fast string kernels using inexact matching for protein sequences. The Journal of Machine Learning Research, 5:1435-1455, 2004.
    • (2004) The Journal of Machine Learning Research , vol.5 , pp. 1435-1455
    • Leslie, C.1    Kuang, R.2
  • 11
    • 77954309042 scopus 로고    scopus 로고
    • Fast integration of heterogeneous data sources for predicting gene function with limited annotation
    • S. Mostafavi and Q. Morris. Fast integration of heterogeneous data sources for predicting gene function with limited annotation. Bioinformatics, 26(14):1759-1765, 2010.
    • (2010) Bioinformatics , vol.26 , Issue.14 , pp. 1759-1765
    • Mostafavi, S.1    Morris, Q.2
  • 12
    • 47549107689 scopus 로고    scopus 로고
    • Genemania: A real-time multiple association network integration algorithm for predicting gene function
    • S. Mostafavi, D. Ray, D. Warde- Farley, C. Grouios, and Q. Morris. Genemania: a real-time multiple association network integration algorithm for predicting gene function. Genome Biology, 9(Suppl 1):S4, 2008.
    • (2008) Genome Biology , vol.9 , Issue.SUPPL. 1
    • Mostafavi, S.1    Ray, D.2    Warde-Farley, D.3    Grouios, C.4    Morris, Q.5
  • 15
    • 27544435126 scopus 로고    scopus 로고
    • Fast protein classification with multiple networks
    • K. Tsuda, H.J. Shin, and B. Schölkopf. Fast protein classification with multiple networks. Bioinformatics, 21(suppl 2):ii59, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.SUPPL. 2
    • Tsuda, K.1    Shin, H.J.2    Schölkopf, B.3
  • 17
    • 25144481906 scopus 로고    scopus 로고
    • Semi-supervised protein classification using cluster kernels
    • J. Weston, C. Leslie, E. Ie, 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    Ie, E.3    Zhou, D.4    Elisseeff, A.5    Noble, W.S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.