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Volumn 6146 LNCS, Issue PART 2, 2010, Pages 335-342

Gene selection and PSO-BP classifier encoding a prior information

Author keywords

BP neural network; Cancer classification; High dimensional and small sample; Particle swarm optimization

Indexed keywords

BP NEURAL NETWORKS; CANCER CLASSIFICATION; CLASSIFICATION APPROACH; CRITICAL TASKS; GENE SELECTION; HIGH-DIMENSIONAL; LEUKEMIA DATA; NEW APPROACHES; NOVEL METHODS; PRIOR INFORMATION; PSO ALGORITHMS; SMALL SAMPLES;

EID: 77954625863     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13498-2_44     Document Type: Conference Paper
Times cited : (1)

References (15)
  • 2
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • Mehmet, F.A.: Support vector machines combined with feature selection for breast cancer diagnosis. Expert Systems with Applications 36, 3240-3247 (2009)
    • (2009) Expert Systems with Applications , vol.36 , pp. 3240-3247
    • Mehmet, F.A.1
  • 3
    • 85130909127 scopus 로고    scopus 로고
    • Feature selection for genomic data analysis
    • Liu, H., Motoda, H. (eds.) Chapam Hall/CRC, Boca Raton
    • Yu, L.: Feature selection for genomic data analysis. In: Liu, H., Motoda, H. (eds.) Computational methods of feature selection, pp. 337-354. Chapam Hall/CRC, Boca Raton (2008)
    • (2008) Computational Methods of Feature Selection , pp. 337-354
    • Yu, L.1
  • 4
    • 68949155378 scopus 로고    scopus 로고
    • Feature subset selection in large dimensionality domains
    • Iffat, A.G., Leslie, S.S.: Feature subset selection in large dimensionality domains. Pattern Recognition 43, 5-13 (2010)
    • (2010) Pattern Recognition , vol.43 , pp. 5-13
    • Iffat, A.G.1    Leslie, S.S.2
  • 5
    • 77954635516 scopus 로고    scopus 로고
    • Study for gene analysis and selection based on rough information entropy
    • Wang, J.Y., Wu, Z.J.: Study for gene analysis and selection based on rough information entropy. Application Research of Computers 25, 1713-1716 (2008)
    • (2008) Application Research of Computers , vol.25 , pp. 1713-1716
    • Wang, J.Y.1    Wu, Z.J.2
  • 6
    • 58149465401 scopus 로고    scopus 로고
    • An efficient gene selection algorithm based on mutual information
    • Cai, R.C., Hao, Z.F., Yang, X.W., Wen, W.: An efficient gene selection algorithm based on mutual information. Neuro computing 72, 991-999 (2009)
    • (2009) Neuro Computing , vol.72 , pp. 991-999
    • Cai, R.C.1    Hao, Z.F.2    Yang, X.W.3    Wen, W.4
  • 7
    • 67649407372 scopus 로고    scopus 로고
    • A neural network-based biomarker association information extraction approach for cancer classification
    • Wang, H.Q., Wong, H.S., Zhu, H.L., Timothy, T.C.: A neural network-based biomarker association information extraction approach for cancer classification. Journal of Biomedical Informatics 42, 654-666 (2009)
    • (2009) Journal of Biomedical Informatics , vol.42 , pp. 654-666
    • Wang, H.Q.1    Wong, H.S.2    Zhu, H.L.3    Timothy, T.C.4
  • 8
    • 37849021093 scopus 로고    scopus 로고
    • Constructing the gene regulation-level representation of microarray data for cancer classification
    • Wong, H.S., Wang, H.Q.: Constructing the gene regulation-level representation of microarray data for cancer classification. Journal of Biomedical Informatics 41, 95-105 (2008)
    • (2008) Journal of Biomedical Informatics , vol.41 , pp. 95-105
    • Wong, H.S.1    Wang, H.Q.2
  • 9
    • 35748930579 scopus 로고    scopus 로고
    • Modified Constrained Learning Algorithms Incorporating Additional Functional Constraints into Neural Networks
    • Han, F., Ling, Q.H., Huang, D.S.: Modified Constrained Learning Algorithms Incorporating Additional Functional Constraints Into Neural Networks. Information Sciences 178(3), 907-919 (2008)
    • (2008) Information Sciences , vol.178 , Issue.3 , pp. 907-919
    • Han, F.1    Ling, Q.H.2    Huang, D.S.3
  • 10
    • 77954652647 scopus 로고    scopus 로고
    • Ensemble gene selection by grouping for microarray data classification
    • (in Press), Corrected Proof
    • Liu, H.W., Liu, L., Zhang, H.J.: Ensemble gene selection by grouping for microarray data classification. Journal of Biomedical Informatics (2009) (in Press), Corrected Proof
    • (2009) Journal of Biomedical Informatics
    • Liu, H.W.1    Liu, L.2    Zhang, H.J.3
  • 11
    • 52349097208 scopus 로고    scopus 로고
    • A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks
    • Han, F., Huang, D.S.: A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. Neural Computing and Applications 17, 433-439 (2008)
    • (2008) Neural Computing and Applications , vol.17 , pp. 433-439
    • Han, F.1    Huang, D.S.2
  • 12
    • 61849097215 scopus 로고    scopus 로고
    • A New Approach Encoding a Priori Information for Function Approximation
    • IEEE Computer Society Press, Los Alamitos
    • Han, F., Gu, T.Y., Ling, Q.H.: A New Approach Encoding A Priori Information for Function Approximation. In: 2008 International Conference on Computer Science and Software Engineering, vol. I, pp. 82-85. IEEE Computer Society Press, Los Alamitos (2008)
    • (2008) 2008 International Conference on Computer Science and Software Engineering , vol.1 , pp. 82-85
    • Han, F.1    Gu, T.Y.2    Ling, Q.H.3
  • 13
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit, S., Fridlyand, J., Speed, T.P.: Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 97, 77-87 (2002)
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 14
    • 34548125448 scopus 로고    scopus 로고
    • Logistic regression for disease classification using microarray data: Model selection in a large p and small n case
    • Liao, J.G., Chin, K.V.: Logistic regression for disease classification using microarray data: model selection in a large p and small n case. Bioinformatics 23(15), 1945-1951 (2007)
    • (2007) Bioinformatics , vol.23 , Issue.15 , pp. 1945-1951
    • Liao, J.G.1    Chin, K.V.2
  • 15
    • 33847379879 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization-back- Propagation algorithm for feedforward neural network training
    • Zhang, J.R., Zhang, J., Lok, T.M., Michael, R.L.: A hybrid particle swarm optimization-back- propagation algorithm for feedforward neural network training. Applied Mathematics and Computation 185(2), 1026-1037 (2007)
    • (2007) Applied Mathematics and Computation , vol.185 , Issue.2 , pp. 1026-1037
    • Zhang, J.R.1    Zhang, J.2    Lok, T.M.3    Michael, R.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.