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Volumn 2, Issue , 2007, Pages 733-738

Application of double clustering to gene expression data for class prediction

Author keywords

Classification; Clustering; Feature reduction; Micorarray; Support vector machine

Indexed keywords

CLUSTERING ALGORITHMS; DECISION TREES; GENE EXPRESSION; MICROARRAYS; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES;

EID: 35248827073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINAW.2007.97     Document Type: Conference Paper
Times cited : (5)

References (19)
  • 1
    • 12244256070 scopus 로고    scopus 로고
    • pattern identification and classification in gene expression data using an autoassociative neural network model
    • Val.81
    • S. Bicciato, M. Pandin, G. Didonê and C. Di Bello, "pattern identification and classification in gene expression data using an autoassociative neural network model," Biotechnology and Bioengineering, Val.81, No.5 , pp.594-606, 2002.
    • (2002) Biotechnology and Bioengineering , Issue.5 , pp. 594-606
    • Bicciato, S.1    Pandin, M.2    Didonê, G.3    Di Bello, C.4
  • 2
    • 0037250118 scopus 로고    scopus 로고
    • prediction of biologically significant components' from microarray data: Independently consisitent expression discriminator (ICED)
    • R. Bijlani, et al, "prediction of biologically significant components' from microarray data: independently consisitent expression discriminator (ICED)," Bioinformatics, vol.19; pp.62-70, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 62-70
    • Bijlani, R.1
  • 5
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • T.S. Furey, N. Cristianini, N. Duffy, D.W. Bednarski, M. Schummer and D. Haussler, "Support vector machine classification and validation of cancer tissue samples using microarray expression data," Bioinformatics, Vol.16, No-10, pp.906-14, 2000.
    • (2000) Bioinformatics , vol.16 , Issue.10 , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3    Bednarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 6
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • T.R. Golub, et al, "Molecular classification of cancer: class discovery and class prediction by gene expression monitoring," Science, 286, pp.531-537, 1999.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 8
    • 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, Vol.46, No. 1-3, pp.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
  • 10
    • 0032903908 scopus 로고    scopus 로고
    • The Transcriptional Program in the Response of Human Fibroblasts to Serum
    • V.R. Iyer, et al, "The Transcriptional Program in the Response of Human Fibroblasts to Serum," Science, 283, 1999.
    • (1999) Science , vol.283
    • Iyer, V.R.1
  • 11
    • 0036083435 scopus 로고    scopus 로고
    • Identifying Good Diagnosis Gene Group from Gene Expression Profile Using the Concept of Emerging Patterns
    • L. Jinyan and L. Wong, "Identifying Good Diagnosis Gene Group from Gene Expression Profile Using the Concept of Emerging Patterns, Bioinformatics, Vol.18, pp.725-734, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 725-734
    • Jinyan, L.1    Wong, L.2
  • 14
    • 1842557928 scopus 로고    scopus 로고
    • Class Prediction and Discovery Based on Gene Expression Data
    • National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
    • L. Li, L.G. Pedersen, T.A. Darden and C.R. Weinberg, "Class Prediction and Discovery Based on Gene Expression Data," Biostatistics Branch and Lab of Structural Biology, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, 2002.
    • (2002) Biostatistics Branch and Lab of Structural Biology
    • Li, L.1    Pedersen, L.G.2    Darden, T.A.3    Weinberg, C.R.4
  • 15
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • University of California Press
    • J. MacQueen, "Some methods for classification and analysis of multivariate observations," Proc. of Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297. University of California Press, 1967.
    • (1967) Proc. of Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.1
  • 16
    • 0023453329 scopus 로고
    • Silhouette: A graphical aid to the interpretation and validation of cluster analysis
    • P.J. Rousseeuw., "Silhouette: a graphical aid to the interpretation and validation of cluster analysis," Journal of Comp App. Math, Vol.20, pp.53-65, 1987.
    • (1987) Journal of Comp App. Math , vol.20 , pp. 53-65
    • Rousseeuw, P.J.1
  • 17
    • 33746683125 scopus 로고    scopus 로고
    • Analysis of microarray experiments of gene expression profiling
    • A.L. Tarca et al, "Analysis of microarray experiments of gene expression profiling," Obstetrics & Gynecology, Vol.195, pp.373-83, 2006.
    • (2006) Obstetrics & Gynecology , vol.195 , pp. 373-383
    • Tarca, A.L.1
  • 19
    • 0004078039 scopus 로고    scopus 로고
    • ALL/AML cancer classification by gene expression data using SVM and CSVM approach
    • X. Zhang and H. Ke, "ALL/AML cancer classification by gene expression data using SVM and CSVM approach," Genome informatics, Vol.11, pp.237-239, 2000.
    • (2000) Genome informatics , vol.11 , pp. 237-239
    • Zhang, X.1    Ke, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.