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Volumn 53, Issue 5, 2009, Pages 1674-1687

Modified linear discriminant analysis approaches for classification of high-dimensional microarray data

Author keywords

[No Author keywords available]

Indexed keywords

BIOASSAY; COVARIANCE MATRIX; DISCRIMINANT ANALYSIS; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

EID: 60349120338     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.02.005     Document Type: Article
Times cited : (85)

References (34)
  • 1
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon U., Barkai N., Notterman D.A., Gish K., Ybarra S., Mack D., et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proceedings of National Academy of Sciences 96 12 (1999) 6745-6750
    • (1999) Proceedings of National Academy of Sciences , vol.96 , Issue.12 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6
  • 3
    • 1342330535 scopus 로고    scopus 로고
    • Is cross validation valid for small sample microarray classification?
    • Braga-Neto, and Dougherty E.R. Is cross validation valid for small sample microarray classification?. Bioinformatics 20 (2004) 374-380
    • (2004) Bioinformatics , vol.20 , pp. 374-380
    • Braga-Neto1    Dougherty, E.R.2
  • 5
    • 1642317557 scopus 로고    scopus 로고
    • Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival
    • Chiaretti S., Li X., Gentleman R., Vitale A., Vignetti M., Mandelli F., et al. Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival. Blood 1 103 7 (2004) 2771-2778
    • (2004) Blood 1 , vol.103 , Issue.7 , pp. 2771-2778
    • Chiaretti, S.1    Li, X.2    Gentleman, R.3    Vitale, A.4    Vignetti, M.5    Mandelli, F.6
  • 8
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit S., Fridlyand J., and Speed T.P. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 97 457 (2002) 77-87
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 9
    • 34548273742 scopus 로고    scopus 로고
    • Improving implementation of linear discriminant analysis for the high dimension/small sample size problem
    • Duintjer Tebbens J., and Schlesinger P. Improving implementation of linear discriminant analysis for the high dimension/small sample size problem. Computational Statistics & Data Analysis 52 1 (2007) 423-437
    • (2007) Computational Statistics & Data Analysis , vol.52 , Issue.1 , pp. 423-437
    • Duintjer Tebbens, J.1    Schlesinger, P.2
  • 11
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub T.R., Slonim D.K., Tamayo P., Huard C., Gaasenbeek M., Mesirov J.P., et al. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286 5439 (1999) 531-537
    • (1999) Science , vol.286 , Issue.5439 , pp. 531-537
    • Golub, T.R.1    Slonim, D.K.2    Tamayo, P.3    Huard, C.4    Gaasenbeek, M.5    Mesirov, J.P.6
  • 12
    • 33845413755 scopus 로고    scopus 로고
    • Regularized linear discriminant analysis and its application in microarrays
    • Guo Y., Hastie T., and Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostatistics 8 1 (2007) 86-100
    • (2007) Biostatistics , vol.8 , Issue.1 , pp. 86-100
    • Guo, Y.1    Hastie, T.2    Tibshirani, R.3
  • 13
    • 15944419638 scopus 로고    scopus 로고
    • Efficient quadratic regularization for expression arrays
    • Hastie T., and Tibshirani R. Efficient quadratic regularization for expression arrays. Biostatistics 5 2 (2004) 329-340
    • (2004) Biostatistics , vol.5 , Issue.2 , pp. 329-340
    • Hastie, T.1    Tibshirani, R.2
  • 15
    • 63249112814 scopus 로고
    • Krishnaiah P.R., and Kanal L.N. (Eds)
    • Jain A.K., and Chandrasekaran B. In: Krishnaiah P.R., and Kanal L.N. (Eds). Dimensionality and Sample Size Considerations in Pattern Recognition Practice. Handbook of Statistics vol. 2 (1982) 835-855
    • (1982) Handbook of Statistics , vol.2 , pp. 835-855
    • Jain, A.K.1    Chandrasekaran, B.2
  • 16
    • 33747344944 scopus 로고    scopus 로고
    • Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
    • Jeffery I., Higgins D., and Culhane A. Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data. BMC Bioinformatics 7 1 (2006) 359-374
    • (2006) BMC Bioinformatics , vol.7 , Issue.1 , pp. 359-374
    • Jeffery, I.1    Higgins, D.2    Culhane, A.3
  • 17
    • 0346961488 scopus 로고    scopus 로고
    • A well-conditioned estimator for large-dimensional covariance matrices
    • Ledoit O., and Wolf M. A well-conditioned estimator for large-dimensional covariance matrices. Journal of Multivariate Analysis 88 2 (2004) 365-411
    • (2004) Journal of Multivariate Analysis , vol.88 , Issue.2 , pp. 365-411
    • Ledoit, O.1    Wolf, M.2
  • 18
    • 0036139278 scopus 로고    scopus 로고
    • Gene selection for sample classification based on gene expression data: Study of sensitivity to choice of parameters of the GA/KNN method
    • Li L., Weinberg C.R., Darden T.A., and Pedersen L.G. Gene selection for sample classification based on gene expression data: Study of sensitivity to choice of parameters of the GA/KNN method. Bioinformatics 17 12 (2001) 1131-1142
    • (2001) Bioinformatics , vol.17 , Issue.12 , pp. 1131-1142
    • Li, L.1    Weinberg, C.R.2    Darden, T.A.3    Pedersen, L.G.4
  • 19
    • 25144494760 scopus 로고    scopus 로고
    • Prediction error estimation: A comparison of resampling methods
    • Molinaro A.M., Simon R., and Pfeiffer R.M. Prediction error estimation: A comparison of resampling methods. Bioinformatics 21 (2005) 3301-3307
    • (2005) Bioinformatics , vol.21 , pp. 3301-3307
    • Molinaro, A.M.1    Simon, R.2    Pfeiffer, R.M.3
  • 21
    • 60349128967 scopus 로고    scopus 로고
    • R Development Core Team, 2005. R: A language and environment for statistical computing. R Foundations for Statistical Computing. 2.4.1 ed. Vienna
    • R Development Core Team, 2005. R: A language and environment for statistical computing. R Foundations for Statistical Computing. 2.4.1 ed. Vienna
  • 23
    • 27844521293 scopus 로고    scopus 로고
    • A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
    • Article 32
    • Schafer J., and Strimmer K. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Berkeley Electronic Press 4 1 (2005) Article 32
    • (2005) Berkeley Electronic Press , vol.4 , Issue.1
    • Schafer, J.1    Strimmer, K.2
  • 24
    • 18244409933 scopus 로고    scopus 로고
    • Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
    • Shipp M.A., Ross K.N., Tamayo P., Weng A.P., Kutok J.L., Aguiar R.C.T., et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine 8 1 (2002) 68-74
    • (2002) Nature Medicine , vol.8 , Issue.1 , pp. 68-74
    • Shipp, M.A.1    Ross, K.N.2    Tamayo, P.3    Weng, A.P.4    Kutok, J.L.5    Aguiar, R.C.T.6
  • 25
    • 60349127874 scopus 로고    scopus 로고
    • Development and validation of biomarker classifiers for treatment selection
    • Bethesda MD
    • Simon, R., 2005. Development and validation of biomarker classifiers for treatment selection. Biometric Branch Technical Report 35 National Cancer Institute, Bethesda MD. http://linus.nci.nih.gov/brb
    • (2005) Biometric Branch Technical Report , vol.35
    • Simon, R.1
  • 27
    • 19044391072 scopus 로고    scopus 로고
    • Gene expression correlates of clinical prostate cancer behavior
    • Singh D., Febbo P.G., Ross K., Jackson D.G., Manola J., Ladd C., et al. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1 2 (2002) 203-209
    • (2002) Cancer Cell , vol.1 , Issue.2 , pp. 203-209
    • Singh, D.1    Febbo, P.G.2    Ross, K.3    Jackson, D.G.4    Manola, J.5    Ladd, C.6
  • 28
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
    • Article 3
    • Smyth G.K. Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology 3 1 (2004) Article 3
    • (2004) Statistical Applications in Genetics and Molecular Biology , vol.3 , Issue.1
    • Smyth, G.K.1
  • 29
    • 33644872577 scopus 로고    scopus 로고
    • Limma: Linear models for microarray data
    • Gentleman R., Carey V., Dudoit S., Irizarry R., and Huber W. (Eds), Springer, New York
    • Smyth G.K. Limma: Linear models for microarray data. In: Gentleman R., Carey V., Dudoit S., Irizarry R., and Huber W. (Eds). Bioinformatics and Computational Biology Solutions using R and Bioconductor (2005), Springer, New York
    • (2005) Bioinformatics and Computational Biology Solutions using R and Bioconductor
    • Smyth, G.K.1
  • 31
    • 33847312745 scopus 로고    scopus 로고
    • Thomaz, C.E., Gillies, D.F., 2005. A maximum uncertainty lda-based approach for limited sample size problems #8212; with application to face recognition. In: 18th Brazilian Symposium on Computer Graphics and Image Processing SIBGRAPI 2005, pp. 89-96
    • Thomaz, C.E., Gillies, D.F., 2005. A maximum uncertainty lda-based approach for limited sample size problems #8212; with application to face recognition. In: 18th Brazilian Symposium on Computer Graphics and Image Processing SIBGRAPI 2005, pp. 89-96
  • 32
    • 2342533421 scopus 로고    scopus 로고
    • Class prediction by nearest shrunken centroids with applications to DNA microarrays
    • Tibshirani, et al. Class prediction by nearest shrunken centroids with applications to DNA microarrays. Statistical Science 18 (2003) 104-117
    • (2003) Statistical Science , vol.18 , pp. 104-117
    • Tibshirani1
  • 33
    • 33751188509 scopus 로고    scopus 로고
    • Utility of high dimensional genomic composite biomarkers in therapeutic and/or diagnostic development
    • Taipei, Taiwan
    • Wang, S.J., 2005. Utility of high dimensional genomic composite biomarkers in therapeutic and/or diagnostic development. In: Emerging Information Technology Conference. Taipei, Taiwan
    • (2005) Emerging Information Technology Conference
    • Wang, S.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.