메뉴 건너뛰기




Volumn 4447 LNCS, Issue , 2007, Pages 90-101

A genetic embedded approach for gene selection and classification of microarray data

Author keywords

Feature selection; Genetic algorithms; Microarray gene expression; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); EMBEDDED SYSTEMS; FEATURE EXTRACTION; GENETIC ALGORITHMS; MICROARRAYS; SUPPORT VECTOR MACHINES;

EID: 38049058802     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (87)

References (17)
  • 2
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • U. Alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra, D. Mack, and A. J. Levine. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA, 96:6745-6750, 1999.
    • (1999) Proc Natl Acad Sci USA , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 3
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • C. Ambroise and G.J. McLachlan. Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA, 99(10):6562-6566, 2002.
    • (2002) Proc Natl Acad Sci USA , vol.99 , Issue.10 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 4
    • 33745768136 scopus 로고    scopus 로고
    • A hybrid ga/svm approach for gene selection and classification of microarray data
    • Springer
    • E. Bonilla Huerta, B. Duval, and J.-K. Hao. A hybrid ga/svm approach for gene selection and classification of microarray data. Lecture Notes in Computer Science, 3907:34-44, Springer, 2006.
    • (2006) Lecture Notes in Computer Science , vol.3907 , pp. 34-44
    • Bonilla Huerta, E.1    Duval, B.2    Hao, J.-K.3
  • 6
    • 0345724886 scopus 로고    scopus 로고
    • Reliable classification of two-class cancer data using evolutionary algorithms
    • Nov
    • K. Deb and A. R. Reddy. Reliable classification of two-class cancer data using evolutionary algorithms. Biosystems, 72(1-2):111-29, Nov 2003.
    • (2003) Biosystems , vol.72 , Issue.1-2 , pp. 111-129
    • Deb, K.1    Reddy, A.R.2
  • 7
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • S. Dudoit, J. Fridlyand, and T. P. Speed. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 97(457):77-87, 2002.
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 10
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning, 46(1-3):389-422, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 11
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G.H. John. Wrappers for feature subset selection. Artificial Intelligence, 97(1-2):273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 12
    • 84901451540 scopus 로고    scopus 로고
    • Selecting informative genes using a multiobjective evolutionary algorithm
    • IEEE Press
    • J. Liu and H. Iba. Selecting informative genes using a multiobjective evolutionary algorithm. In Proceedings of the 2002 Congress on Evolutionary Computation, pages 297-302, IEEE Press, 2002.
    • (2002) Proceedings of the 2002 Congress on Evolutionary Computation , pp. 297-302
    • Liu, J.1    Iba, H.2
  • 14
    • 4344650509 scopus 로고    scopus 로고
    • Selection of the most useful subset of genes for gene expression-based classification
    • IEEE Press
    • T.K. Paul and H. Iba. Selection of the most useful subset of genes for gene expression-based classification. Proceedings of the 2004 Congress on Evolutionary Computation, pages 2076-2083, IEEE Press, 2004.
    • (2004) Proceedings of the 2004 Congress on Evolutionary Computation , pp. 2076-2083
    • Paul, T.K.1    Iba, H.2
  • 15
    • 0344872506 scopus 로고    scopus 로고
    • Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines
    • S. Peng, Q. Xu, X.B. Ling, X. Peng, W. Du, and L. Chen. Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines. FEBS Letters, 555(2):358-362, 2003.
    • (2003) FEBS Letters , vol.555 , Issue.2 , pp. 358-362
    • Peng, S.1    Xu, Q.2    Ling, X.B.3    Peng, X.4    Du, W.5    Chen, L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.