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Volumn 38, Issue 7, 2011, Pages 8144-8150

Hybrid feature selection by combining filters and wrappers

Author keywords

Disordered protein; Feature selection; Filters; Microarray; Support vector machine; Wrappers

Indexed keywords

CANCER DATA; COMPUTATIONAL SPEED; DISORDERED PROTEINS; DISORDERED REGIONS; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE SETS; FEATURE SUBSET; FILTERS; GENE SELECTION; HYBRID FEATURES; HYBRID MECHANISMS; NON-TRIVIAL TASKS; PREDICTION ACCURACY; PROBLEM DOMAIN; TIME-PERIODS; WRAPPERS;

EID: 79952454670     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.156     Document Type: Article
Times cited : (306)

References (23)
  • 2
    • 40649098229 scopus 로고    scopus 로고
    • C2FS: An algorithm for feature selection in Cascade neural networks
    • 1716759, International Joint Conference on Neural Networks 2006, IJCNN '06
    • Backstrom, L., Caruana, R. (2006). C2FS: An algorithm for feature selection in cascade neural networks, IEEE International Joint Conference on Neural Networks. Canada: Vancouver, BC, pp. 4748-4753. (Pubitemid 351369974)
    • (2006) IEEE International Conference on Neural Networks - Conference Proceedings , pp. 4748-4753
    • Backstrom, L.1    Caruana, R.2
  • 5
    • 0141686299 scopus 로고    scopus 로고
    • Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features
    • S. Cho, and J. Ryu Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features Proceedings of the IEEE 90 11 2002 1744 1753
    • (2002) Proceedings of the IEEE , vol.90 , Issue.11 , pp. 1744-1753
    • Cho, S.1    Ryu, J.2
  • 6
    • 34247154511 scopus 로고    scopus 로고
    • Cancer classification using ensemble of neural networks with multiple significant gene subsets
    • DOI 10.1007/s10489-006-0020-4
    • S. Cho, and H. Won Cancer classification using ensemble of neural networks with multiple significant gene subsets Applied Intelligence 26 3 2007 243 250 (Pubitemid 46589211)
    • (2007) Applied Intelligence , vol.26 , Issue.3 , pp. 243-250
    • Cho, S.B.1    Won, H.-H.2
  • 8
    • 34848837283 scopus 로고    scopus 로고
    • Classification of heterogeneous microarray data by maximum entropy kernel
    • W. Fujibuchi, and T. Kato Classification of heterogeneous microarray data by maximum entropy kernel BMC Bioinformatics 8 2007 267 277
    • (2007) BMC Bioinformatics , vol.8 , pp. 267-277
    • Fujibuchi, W.1    Kato, T.2
  • 9
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik Gene selection for cancer classification using support vector machines Machine Learning 46 1-3 2002 389 422 (Pubitemid 34129977)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 11
    • 34547588389 scopus 로고    scopus 로고
    • PrDOS: Prediction of disordered protein regions from amino acid sequence
    • T. Ishida, and K. Kinoshita PrDOS: Prediction of disordered protein regions from amino acid sequence Nucleic Acids Research 35 2007 460 464
    • (2007) Nucleic Acids Research , vol.35 , pp. 460-464
    • Ishida, T.1    Kinoshita, K.2
  • 12
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi, and G. John Wrappers for feature subset selection Artificial Intelligence 97 1997 273 324 (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 13
    • 0242458482 scopus 로고    scopus 로고
    • Protein disorder prediction: Implications for structural proteomics
    • DOI 10.1016/j.str.2003.10.002
    • R. Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson, and R.B. Russell Protein disorder prediction: Implications for structural proteomics Structure 11 11 2003 1453 1459 (Pubitemid 37412427)
    • (2003) Structure , vol.11 , Issue.11 , pp. 1453-1459
    • Linding, R.1    Jensen, L.J.2    Diella, F.3    Bork, P.4    Gibson, T.J.5    Russell, R.B.6
  • 19
    • 0034669882 scopus 로고    scopus 로고
    • Why are "natively unfolded" proteins unstructured under physiologic conditions?
    • V.N. Uversky, J.R. Gillespie, and A.L. Fink Why are "natively unfolded" proteins unstructured under physiologic conditions? Proteins 41 2000 415 427
    • (2000) Proteins , vol.41 , pp. 415-427
    • Uversky, V.N.1    Gillespie, J.R.2    Fink, A.L.3
  • 20
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • V. Vapnik, I. Guyon, J. Weston, and S. Barnhill Gene selection for cancer classification using support vector machines Machine Learning 46 1-3 2002 389 422 (Pubitemid 34129977)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 22
    • 0018107732 scopus 로고
    • The conformational mobility of proteins and its functional significance
    • R.J. Williams The conformational mobility of proteins and its functional significance Biochemical Society Transactions 6 1978 1123 1126
    • (1978) Biochemical Society Transactions , vol.6 , pp. 1123-1126
    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.