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Volumn 1, Issue , 2004, Pages 104-108

Gene expression data classification with revised kernel partial least S quares algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTIONS; GENES; MATRIX ALGEBRA; NEURAL NETWORKS; RNA; STATISTICAL METHODS; TUMORS;

EID: 10044256695     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
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    • Alizadeh, A. A., et al. Distinct types of the diffuse large B-cell lymphoma identified by gene expression profiling. Nature, 2000, 403, 503-511.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.A.1
  • 2
    • 2442514721 scopus 로고    scopus 로고
    • An optimization perspective on partial least square
    • NATO Science Series III: Computer & Systems Sciences, IOS Press, Amsterdam
    • Bennett, K. P. and Embrechts, M. J. An optimization perspective on partial least square. In Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer & Systems Sciences, Volume 190, IOS Press, Amsterdam, 2003, 227-250.
    • (2003) Advances in Learning Theory: Methods, Models and Applications , vol.190 , pp. 227-250
    • Bennett, K.P.1    Embrechts, M.J.2
  • 3
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarry gene expression data
    • Ding, C. and Peng, H. Minimum redundancy feature selection from microarry gene expression data.CSB 2003, 523-528.
    • (2003) CSB , pp. 523-528
    • Ding, C.1    Peng, H.2
  • 4
    • 0035923583 scopus 로고    scopus 로고
    • Diversity of gene expression in adenocarcinoma of the lung
    • USA
    • Garber, M. E., et al. Diversity of gene expression in adenocarcinoma of the lung. PNAS, USA. 2001, 98(24), 13784-13789.
    • (2001) PNAS , vol.98 , Issue.24 , pp. 13784-13789
    • Garber, M.E.1
  • 5
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub, T. R., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286, 531-537, 1999.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 6
    • 10044281332 scopus 로고    scopus 로고
    • Partial least squares propor-tional hazard regression for application to DNA microarray data
    • Nguyen, D. and Rocke, D. M. Partial least squares propor-tional hazard regression for application to DNA microarray data. Bioinformatics, 2002, 18, 29-50.
    • (2002) Bioinformatics , vol.18 , pp. 29-50
    • Nguyen, D.1    Rocke, D.M.2
  • 7
    • 0036740519 scopus 로고    scopus 로고
    • Multi-class cancer classification via partial least squares with gene expression profiles
    • Nguyen, D. and Rocke, D. M. Multi-class cancer classification via partial least squares with gene expression profiles. Bioinformatics, 2002, 18, 1216-1226.
    • (2002) Bioinformatics , vol.18 , pp. 1216-1226
    • Nguyen, D.1    Rocke, D.M.2
  • 8
    • 27144527498 scopus 로고    scopus 로고
    • Kernel partial least squares regression in RKHS, Thoery and empirical comparison
    • University of Paisley, UK, March
    • Rosipal, R. and Trejo, L. J. Kernel partial least squares regression in RKHS, Thoery and empirical comparison, Technical report, University of Paisley, UK, March 2001.
    • (2001) Technical Report
    • Rosipal, R.1    Trejo, L.J.2
  • 9
    • 0034050902 scopus 로고    scopus 로고
    • Systematic variation in gene expression pattern in human cancer cell lines
    • Ross, D.T., et al. Systematic variation in gene expression pattern in human cancer cell lines. Nature Genetics, 2000, 24(3), 227-234.
    • (2000) Nature Genetics , vol.24 , Issue.3 , pp. 227-234
    • Ross, D.T.1
  • 10
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    • Analysis of gene expression in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer
    • USA
    • Welsh, J. B., et al. Analysis of gene expression in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. PNAS, USA, 2001, 98, 1176-1181.
    • (2001) PNAS , vol.98 , pp. 1176-1181
    • Welsh, J.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.