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Volumn , Issue , 2005, Pages 193-214

Supervised Methods with Genomic Data: A Review and Cautionary View

Author keywords

'molecular signatures'or'gene expression signatures'; Class comparison; Diagonal linear discriminant analysis (DLDA); Differential expression; K nearest neighbour (KNN); Machine learning; Multiple testing; ROC (receiver operating characteristic curve); Software 'magic bullets'

Indexed keywords


EID: 84889794570     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/0470094419.ch12     Document Type: Chapter
Times cited : (21)

References (101)
  • 3
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • Ambroise, C. and McLachlan, G. J. (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA, 99 (10), 6562-6566.
    • (2002) Proc Natl Acad Sci USA , vol.99 , Issue.10 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 4
    • 34248352185 scopus 로고    scopus 로고
    • Markers for early detection of cancer: statistical guidelines for nested case-control studies
    • Baker, S. G., Kramer, B. S. and Srivastava, S. (2002) Markers for early detection of cancer: statistical guidelines for nested case-control studies. BMC Med Res Methodol, 2, 4.
    • (2002) BMC Med Res Methodol , vol.2 , pp. 4
    • Baker, S.G.1    Kramer, B.S.2    Srivastava, S.3
  • 5
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: a practical and powerful approach to multiple testing
    • Benjamini, Y. and Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B, 57, 289-300.
    • (1995) J R Stat Soc B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 6
    • 1842507530 scopus 로고    scopus 로고
    • Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes
    • Bickel, D. R. (2004) Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes. Bioinformatics, 20, 682-688.
    • (2004) Bioinformatics , vol.20 , pp. 682-688
    • Bickel, D.R.1
  • 7
    • 84889821998 scopus 로고    scopus 로고
    • Identification of interaction patterns and classification with applications to microarray data
    • SFB386 Discussion Paper
    • Boulesteix, A. and Tutz, G. (2004) Identification of interaction patterns and classification with applications to microarray data. SFB386 Discussion Paper, 369.
    • (2004) , vol.369
    • Boulesteix, A.1    Tutz, G.2
  • 8
    • 0346252356 scopus 로고    scopus 로고
    • A CART-based approach to discover emerging patterns in microarray data
    • Boulesteix, A. L., Tutz, G. and Strimmer, K. (2003) A CART-based approach to discover emerging patterns in microarray data. Bioinformatics, 19, 2465-2472.
    • (2003) Bioinformatics , vol.19 , pp. 2465-2472
    • Boulesteix, A.L.1    Tutz, G.2    Strimmer, K.3
  • 9
    • 1342330535 scopus 로고    scopus 로고
    • Is cross-validation valid for small-sample microarray classification?
    • Braga-Neto, U. M. and Dougherty, E. R. (2004) Is cross-validation valid for small-sample microarray classification? Bioinformatics, 20, 374-380.
    • (2004) Bioinformatics , vol.20 , pp. 374-380
    • Braga-Neto, U.M.1    Dougherty, E.R.2
  • 10
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman, L. (1996) Stacked regressions. Machine Learning, 24, 49-64.
    • (1996) Machine Learning , vol.24 , pp. 49-64
    • Breiman, L.1
  • 11
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001a) Random forests. Machine Learning, 45, 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 12
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: the two cultures (with discussion)
    • Breiman, L. (2001b) Statistical modeling: the two cultures (with discussion). Stat Sci, 16, 199-231.
    • (2001) Stat Sci , vol.16 , pp. 199-231
    • Breiman, L.1
  • 13
    • 0030613470 scopus 로고    scopus 로고
    • Model selection: an integral part of inference
    • Buckland, S. T., Burnham, K. P. and Augustin, N. H. (1997) Model selection: an integral part of inference. Biometrics, 53, 603-618.
    • (1997) Biometrics , vol.53 , pp. 603-618
    • Buckland, S.T.1    Burnham, K.P.2    Augustin, N.H.3
  • 15
    • 0003576417 scopus 로고    scopus 로고
    • Model Selection and Multimodel Inference: a Practical Information-Theoretic Approach, 2nd ed
    • Springer, New York
    • Burnham, K. P. and Anderson, D. R. (2002) Model Selection and Multimodel Inference: a Practical Information-Theoretic Approach, 2nd ed Springer, New York.
    • (2002)
    • Burnham, K.P.1    Anderson, D.R.2
  • 17
    • 0003710380 scopus 로고    scopus 로고
    • Libsvm: a Library for Support Vector Machines
    • technical report. Available from, [accessed 23/09/04]
    • Chang, C.-C. and Lin, C.-J. (2003) Libsvm: a Library for Support Vector Machines, technical report. Available from http://www.csie.ntu.edu.tw/~cjlin/libsvm/ [accessed 23/09/04].
    • (2003)
    • Chang, C.-C.1    Lin, C.-J.2
  • 18
    • 0036900895 scopus 로고    scopus 로고
    • Fundamentals of experimental design for cDNA microarrays
    • Churchill, G. A. (2002) Fundamentals of experimental design for cDNA microarrays. Nat Genet, 32 (Suppl.), 490-495.
    • (2002) Nat Genet , vol.32 , Issue.SUPPL , pp. 490-495
    • Churchill, G.A.1
  • 19
    • 0003485198 scopus 로고    scopus 로고
    • Modelling Binary Data, 2nd edn
    • Chapman and Hall, London
    • Collett, D. (2003) Modelling Binary Data, 2nd edn. Chapman and Hall, London.
    • (2003)
    • Collett, D.1
  • 20
    • 0037276175 scopus 로고    scopus 로고
    • Statistical tests for differential expression in cDNA microarray experiments
    • Cui, X. and Churchill, G. A. (2003) Statistical tests for differential expression in cDNA microarray experiments. Genome Biol, 4, 210.
    • (2003) Genome Biol , vol.4 , pp. 210
    • Cui, X.1    Churchill, G.A.2
  • 21
    • 0003484780 scopus 로고    scopus 로고
    • Bootstrap Methods and their Application
    • Cambridge University Press, Cambridge
    • Davison, A. C. and Hinkley, D. V. (1997) Bootstrap Methods and their Application. Cambridge University Press, Cambridge.
    • (1997)
    • Davison, A.C.1    Hinkley, D.V.2
  • 22
    • 4143134783 scopus 로고    scopus 로고
    • Finding predictive gene groups from microarray data
    • Dettling, M. and B̈hlmann, P. (2004) Finding predictive gene groups from microarray data. J Multivariate Anal, 90, 106-131.
    • (2004) J Multivariate Anal , vol.90 , pp. 106-131
    • Dettling, M.1    B̈hlmann, P.2
  • 23
    • 84889771990 scopus 로고    scopus 로고
    • Molecular Signatures from Gene Expression Data, technical report
    • Available from, [accessed 23/09/04]
    • Díaz-Uriarte, R. (2004) Molecular Signatures from Gene Expression Data, technical report. Available from http://www.arxiv.org/abs/q-bio.QM/0401043 [accessed 23/09/04].
    • (2004)
    • Díaz-Uriarte, R.1
  • 24
    • 84889805557 scopus 로고    scopus 로고
    • Kluwer, Dordrecht, The use of GO terms to understand the biological significance of microarray differential gene expression data
    • Díaz-Uriarte, R., Al-Shahrour, F. and Dopazo J. (2003) In Methods of Microarray Data Analysis III, papers from Camda '02. Kluwer, Dordrecht, The use of GO terms to understand the biological significance of microarray differential gene expression data. 233-247.
    • (2003) Methods of Microarray Data Analysis III, papers from Camda '02. , pp. 233-247
    • Díaz-Uriarte, R.1    Al-Shahrour, F.2    Dopazo, J.3
  • 26
    • 0003922190 scopus 로고    scopus 로고
    • Pattern Classification, 2nd edn.
    • Wiley, New York
    • Duda, R. O., Hart, P. E. and Stork, D. G. (2001) Pattern Classification, 2nd edn. Wiley, New York.
    • (2001)
    • Duda, R.O.1    Hart, P.E.2    Stork, D.G.3
  • 27
    • 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. (2002) Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc, 97 (457), 77-87.
    • (2002) J Am Stat Assoc , vol.97 , Issue.457 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 29
    • 0036376993 scopus 로고    scopus 로고
    • Statistical methods for identifying differentially expressed genes in replicated cDNA experiments
    • Dudoit, S., Yang, Y. Callow, M. and Speed, T. (2002) Statistical methods for identifying differentially expressed genes in replicated cDNA experiments. Statistica Sinica, 12, 111-139.
    • (2002) Statistica Sinica , vol.12 , pp. 111-139
    • Dudoit, S.1    Yang, Y.2    Callow, M.3    Speed, T.4
  • 30
    • 84945737762 scopus 로고
    • A leisurely look at the bootstrap, the jacknife, and cross-validation
    • Efron, B. and Gong, G. (1983) A leisurely look at the bootstrap, the jacknife, and cross-validation. Am Stat, 37 (1), 36-48.
    • (1983) Am Stat , vol.37 , Issue.1 , pp. 36-48
    • Efron, B.1    Gong, G.2
  • 32
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: the 632{thorn} bootstrap method
    • Efron, B. and Tibshirani, R. J. (1997) Improvements on cross-validation: the 632{thorn} bootstrap method. J Am Stat Assoc, 92, 548-560.
    • (1997) J Am Stat Assoc , vol.92 , pp. 548-560
    • Efron, B.1    Tibshirani, R.J.2
  • 34
    • 21344479527 scopus 로고
    • An intepretation of partial least squares
    • Garthwaite, P. H. (1994) An intepretation of partial least squares. JAm Stat Assoc, 89 (425), 122-127.
    • (1994) JAm Stat Assoc , vol.89 , Issue.425 , pp. 122-127
    • Garthwaite, P.H.1
  • 35
    • 0041530047 scopus 로고    scopus 로고
    • Resampling-based multiple testing for microarray data analysis (with discussion)
    • Ge, Y., Dudoit, S. and Speed, T. (2003) Resampling-based multiple testing for microarray data analysis (with discussion). TEST, 12, 1-77.
    • (2003) TEST , vol.12 , pp. 1-77
    • Ge, Y.1    Dudoit, S.2    Speed, T.3
  • 36
    • 0346102889 scopus 로고    scopus 로고
    • Penalized discriminant methods for the classification of tumors from gene expression data
    • Ghosh, D. (2003) Penalized discriminant methods for the classification of tumors from gene expression data. Biometrics, 59, 992-1000.
    • (2003) Biometrics , vol.59 , pp. 992-1000
    • Ghosh, D.1
  • 37
    • 0345832338 scopus 로고    scopus 로고
    • A global test for groups of genes: testing association with a clinical outcome
    • Goeman, J. J., Van de Geer, S. A., de Kort, F. and van Houwelingen, H. C. (2004) A global test for groups of genes: testing association with a clinical outcome. Bioinformatics, 20, 93-99.
    • (2004) Bioinformatics , vol.20 , pp. 93-99
    • Goeman, J.J.1    Van de Geer, S.A.2    De Kort, F.3    Van Houwelingen, H.C.4
  • 39
    • 0041421151 scopus 로고    scopus 로고
    • Prediction of clinical drug efficacy by classification of drug-induced genomic expression profiles in vitro
    • Gunther, E. C., Stone, D. J. Gerwien, R. W. Bento, P. and Heyes, M. P. (2003) Prediction of clinical drug efficacy by classification of drug-induced genomic expression profiles in vitro. Proc Natl Acad Sci USA, 100, 9608-9613.
    • (2003) Proc Natl Acad Sci USA , vol.100 , pp. 9608-9613
    • Gunther, E.C.1    Stone, D.J.2    Gerwien, R.W.3    Bento, P.4    Heyes, M.P.5
  • 41
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I.,Wecton, J., Bainhill, S. and Vapnik, V. (2002) Gene selection for cancer classification using support vector machines. Machine Learning, 46, 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Wecton, J.2    Bainhill, S.3    Vapnik, V.4
  • 45
    • 0242559063 scopus 로고    scopus 로고
    • Linear regression and two-class classification with gene expression data
    • Huang, X. and Pan, W. (2003) Linear regression and two-class classification with gene expression data. Bioinformatics, 19, 2072-2078.
    • (2003) Bioinformatics , vol.19 , pp. 2072-2078
    • Huang, X.1    Pan, W.2
  • 46
    • 0003946510 scopus 로고    scopus 로고
    • Principal Component Analysis
    • 2nd edn. Springer, New York
    • Jolliffe, I. T. (2002) Principal Component Analysis, 2nd edn. Springer, New York.
    • (2002)
    • Jolliffe, I.T.1
  • 47
    • 0037715342 scopus 로고    scopus 로고
    • Simultaneous gene clustering and subset selection for sample classification via MDL
    • Jörnsten, R. and Yu, B. (2003) Simultaneous gene clustering and subset selection for sample classification via MDL. Bioinformatics, 19, 1100-1109.
    • (2003) Bioinformatics , vol.19 , pp. 1100-1109
    • Jörnsten, R.1    Yu, B.2
  • 49
    • 0036012349 scopus 로고    scopus 로고
    • Plaid models for gene expression data
    • Lazzeroni, L. and Owen, A. (2002) Plaid models for gene expression data. Statistica Sinica,, 12, 61-86.
    • (2002) Statistica Sinica , vol.12 , pp. 61-86
    • Lazzeroni, L.1    Owen, A.2
  • 50
    • 0038729565 scopus 로고    scopus 로고
    • Classification of multiple cancer types by multicategory support vector machines using gene expression data
    • Lee, Y. and Lee, C.-K. (2003) Classification of multiple cancer types by multicategory support vector machines using gene expression data. Bioinformatics, 19, 1132-1139.
    • (2003) Bioinformatics , vol.19 , pp. 1132-1139
    • Lee, Y.1    Lee, C.-K.2
  • 51
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • Liaw, A. and Wiener, M. (2002) Classification and regression by randomforest. Rnews, 2, 18-22.
    • (2002) Rnews , vol.2 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 52
    • 0037436101 scopus 로고    scopus 로고
    • The upside of good behavior: make your data freely available
    • Marshall, E. (2003) The upside of good behavior: make your data freely available. Science, 299, 990.
    • (2003) Science , vol.299 , pp. 990
    • Marshall, E.1
  • 54
    • 2942511492 scopus 로고    scopus 로고
    • Cancer characterization and feature set extraction by discriminative margin clustering
    • Munagala, K., Tibshirani, R. and Brown, P. O. (2004) Cancer characterization and feature set extraction by discriminative margin clustering. BMC Bioinformatics, 5, 21.
    • (2004) BMC Bioinformatics , vol.5 , pp. 21
    • Munagala, K.1    Tibshirani, R.2    Brown, P.O.3
  • 55
    • 4444235995 scopus 로고    scopus 로고
    • Detecting differential gene expression with a semiparametric hierarchical mixture method
    • Newton, M. A., Noueiry, A., Sarkar, D. and Ahlquist, P. (2004) Detecting differential gene expression with a semiparametric hierarchical mixture method. Biostatistics, 5, 155-176.
    • (2004) Biostatistics , vol.5 , pp. 155-176
    • Newton, M.A.1    Noueiry, A.2    Sarkar, D.3    Ahlquist, P.4
  • 56
    • 0036740519 scopus 로고    scopus 로고
    • Multi-class cancer classification via partial least squares with gene expression profiles
    • Nguyen, D. V. and Rocke, D. M. (2002) Multi-class cancer classification via partial least squares with gene expression profiles. Bioinformatics, 18 (9), 1216-1226.
    • (2002) Bioinformatics , vol.18 , Issue.9 , pp. 1216-1226
    • Nguyen, D.V.1    Rocke, D.M.2
  • 57
    • 0242361278 scopus 로고    scopus 로고
    • Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment
    • Ntzani, E. E. and Ioannidis, J. P. (2003) Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment. Lancet, 362, 1439-1444.
    • (2003) Lancet , vol.362 , pp. 1439-1444
    • Ntzani, E.E.1    Ioannidis, J.P.2
  • 58
    • 0037337887 scopus 로고    scopus 로고
    • From correlation to causality: microarrays, cancer, and cancer treatment
    • O'Neill, G. M., Catchpoole, D. R. and Golemis, E. A. (2003) From correlation to causality: microarrays, cancer, and cancer treatment. Biotechniques Suppl, 64-71.
    • (2003) Biotechniques Suppl , pp. 64-71
    • O'Neill, G.M.1    Catchpoole, D.R.2    Golemis, E.A.3
  • 59
    • 0242634343 scopus 로고    scopus 로고
    • Linking gene expression data with patient survival times using partial least squares
    • Park, P. J., Tian, L. and Kohane, I. S. (2002) Linking gene expression data with patient survival times using partial least squares. Bioinformatics, 18 (S1), S120-S127.
    • (2002) Bioinformatics , vol.18 , Issue.S1
    • Park, P.J.1    Tian, L.2    Kohane, I.S.3
  • 60
    • 0036433548 scopus 로고    scopus 로고
    • A statistical framework for expression-based molecular classification in cancer
    • Parmigiani, G., Garrett, E. Anbazhaghan, R. and Gabrielson, E. (2002) A statistical framework for expression-based molecular classification in cancer. J. R Stat Soc B, 64, 717-736.
    • (2002) J. R Stat Soc B , vol.64 , pp. 717-736
    • Parmigiani, G.1    Garrett, E.2    Anbazhaghan, R.3    Gabrielson, E.4
  • 62
    • 1842845076 scopus 로고    scopus 로고
    • Lung cancer in US women: a contemporary epidemic
    • Patel, J. D., Bach, P. B. and Kris, M. G. (2004) Lung cancer in US women: a contemporary epidemic. JAMA, 291, 1763-1768.
    • (2004) JAMA , vol.291 , pp. 1763-1768
    • Patel, J.D.1    Bach, P.B.2    Kris, M.G.3
  • 64
    • 0042986859 scopus 로고    scopus 로고
    • The Statistical Evaluation of Medical Tests for Classification and Prediction
    • Oxford University Press, Oxford
    • Pepe, M. S. (2003) The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press, Oxford.
    • (2003)
    • Pepe, M.S.1
  • 66
    • 0037368548 scopus 로고    scopus 로고
    • Selecting differentially expressed genes from microarray experiments
    • Pepe, M. S., Longton, G., Anderson, G. L. and Schummer, M. (2003) Selecting differentially expressed genes from microarray experiments. Biometrics, 59, 133-142.
    • (2003) Biometrics , vol.59 , pp. 133-142
    • Pepe, M.S.1    Longton, G.2    Anderson, G.L.3    Schummer, M.4
  • 67
    • 10944239734 scopus 로고    scopus 로고
    • Visualisation of gene expression data-the Ge-biplot, the chip-plot and the gene-plot
    • article 6
    • Pittelkow, Y. E. and Wislon, S. R. (2003).Visualisation of gene expression data-the Ge-biplot, the chip-plot and the gene-plot. Stat Applications Genetics Mol Biol, 2, article 6.
    • (2003) Stat Applications Genetics Mol Biol , vol.2
    • Pittelkow, Y.E.1    Wislon, S.R.2
  • 69
    • 0345293169 scopus 로고    scopus 로고
    • Epidemiology, cancer genetics and microarrays: making correct inferences, using appropriate designs
    • Potter, J. D. (2003) Epidemiology, cancer genetics and microarrays: making correct inferences, using appropriate designs. Trends Genet, 19, 690-695.
    • (2003) Trends Genet , vol.19 , pp. 690-695
    • Potter, J.D.1
  • 70
    • 1942438016 scopus 로고    scopus 로고
    • Opinion: rules of evidence for cancer molecular-marker discovery and validation
    • Ransohoff, D. F. (2004) Opinion: rules of evidence for cancer molecular-marker discovery and validation. Nat Rev Cancer, 4, 309-314.
    • (2004) Nat Rev Cancer , vol.4 , pp. 309-314
    • Ransohoff, D.F.1
  • 71
    • 0037433040 scopus 로고    scopus 로고
    • Identifying differentially expressed genes using false discovery rate controlling procedures
    • Reiner, A., Yekutieli, D. and Benjamini, Y. (2003) Identifying differentially expressed genes using false discovery rate controlling procedures. Bioinformatics, 19, 368-375.
    • (2003) Bioinformatics , vol.19 , pp. 368-375
    • Reiner, A.1    Yekutieli, D.2    Benjamini, Y.3
  • 72
    • 84953405534 scopus 로고    scopus 로고
    • Pattern Recognition and Neural Networks
    • Cambridge University Press, Cambridge
    • Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge.
    • (1996)
    • Ripley, B.D.1
  • 73
    • 84889808174 scopus 로고    scopus 로고
    • Statistical methods need software: a view of statistical computing, Opening lecture
    • [accessed 23/09/04]
    • Ripley, B. D. (2002) Statistical methods need software: a view of statistical computing, Opening lecture, RSS 2002. http://www.stats.ox.ac.uk/~ripley/RSS2002.pdf [accessed 23/09/04].
    • (2002) RSS 2002.
    • Ripley, B.D.1
  • 74
    • 0037447386 scopus 로고    scopus 로고
    • Pattern recognition in gene expression profiling using DNA array: a comparative study of different statistical methods applied to cancer classification
    • Romualdi, C., Campanaro, S., Campagna, D., Celegato, B., Cannata, N., Toppo, S., Valle, G. and Lanfranchi, G. (2003) Pattern recognition in gene expression profiling using DNA array: a comparative study of different statistical methods applied to cancer classification. Hum Mol Genet, 12, 8-823.
    • (2003) Hum Mol Genet , vol.12 , pp. 8-823
    • Romualdi, C.1    Campanaro, S.2    Campagna, D.3    Celegato, B.4    Cannata, N.5    Toppo, S.6    Valle, G.7    Lanfranchi, G.8
  • 77
    • 0037006639 scopus 로고    scopus 로고
    • The architecture of diagnostic research
    • Sackett, D. L. and Haynes, R. B. (2002) The architecture of diagnostic research. BMJ, 324, 539-541.
    • (2002) BMJ , vol.324 , pp. 539-541
    • Sackett, D.L.1    Haynes, R.B.2
  • 80
    • 0037335024 scopus 로고    scopus 로고
    • Experimental design of DNA microarray experiments
    • Simon, R. M. and Dobbin, K. (2003) Experimental design of DNA microarray experiments. Biotechniques Suppl, 16-21.
    • (2003) Biotechniques Suppl , pp. 16-21
    • Simon, R.M.1    Dobbin, K.2
  • 82
    • 0037245343 scopus 로고    scopus 로고
    • Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
    • Simon, R., Radmacher, M. D., Dobbin, K. and McShane, L. M. (2003b) Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J Natl Cancer Inst, 95 (1), 14-18.
    • (2003) J Natl Cancer Inst , vol.95 , Issue.1 , pp. 14-18
    • Simon, R.1    Radmacher, M.D.2    Dobbin, K.3    McShane, L.M.4
  • 83
    • 0036899286 scopus 로고    scopus 로고
    • From patterns to pathways: gene expression data analysis comes of age
    • Slonim, D. K. (2002) From patterns to pathways: gene expression data analysis comes of age. Nat Genet, 32 Suppl., 502-508.
    • (2002) Nat Genet , vol.32 , Issue.SUPPL , pp. 502-508
    • Slonim, D.K.1
  • 84
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
    • article 3
    • Smyth, G. K. (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat Applications Genetics Mol Biol, 3, article 3.
    • (2004) Stat Applications Genetics Mol Biol , vol.3
    • Smyth, G.K.1
  • 85
    • 0042923097 scopus 로고    scopus 로고
    • Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions
    • Somorjai, R. L., Dolenko, B. and Baumgartner, R. (2003) Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinformatics, 19, 1484-1491.
    • (2003) Bioinformatics , vol.19 , pp. 1484-1491
    • Somorjai, R.L.1    Dolenko, B.2    Baumgartner, R.3
  • 87
    • 1242323130 scopus 로고    scopus 로고
    • Statistical Analysis of Gene Expression Microarray Data
    • Chapman and Hall, London
    • Speed, T. E. (2003) Statistical Analysis of Gene Expression Microarray Data. Chapman and Hall, London.
    • (2003)
    • Speed, T.E.1
  • 88
    • 1442335997 scopus 로고    scopus 로고
    • Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation
    • Stegmaier, K., Ross, K. N., Colavito, S. A., O'Malley, S., Stockwell, B. R. and Golub, T. R. (2004) Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation. Nat Genet, 36, 257-263.
    • (2004) Nat Genet , vol.36 , pp. 257-263
    • Stegmaier, K.1    Ross, K.N.2    Colavito, S.A.3    O'Malley, S.4    Stockwell, B.R.5    Golub, T.R.6
  • 89
    • 0000818474 scopus 로고
    • Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression (with discussion)
    • Stone, M. and Brooks, R. J. (1990) Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression (with discussion). J R Stat Soc B, 52 (2), 237-269.
    • (1990) J R Stat Soc B , vol.52 , Issue.2 , pp. 237-269
    • Stone, M.1    Brooks, R.J.2
  • 90
    • 0036020892 scopus 로고    scopus 로고
    • A direct approach to false discovery rates
    • Storey, J. (2002) A direct approach to false discovery rates. J R Stat Soc B, 64, 479-498.
    • (2002) J R Stat Soc B , vol.64 , pp. 479-498
    • Storey, J.1
  • 91
    • 0042424602 scopus 로고    scopus 로고
    • Statistical significance for genomewide studies
    • Storey, J. D. and Tibshirani, R. (2003) Statistical significance for genomewide studies. Proc Natl Acad Sci USA, 100, 9440-9445.
    • (2003) Proc Natl Acad Sci USA , vol.100 , pp. 9440-9445
    • Storey, J.D.1    Tibshirani, R.2
  • 92
    • 0033343146 scopus 로고    scopus 로고
    • Issues in stacked generalization
    • Ting, K. M. andWitten, I. H. (1999) Issues in stacked generalization. J Artif Intell Res, 10, 271-289.
    • (1999) J Artif Intell Res , vol.10 , pp. 271-289
    • Ting K.M.andWitten, I.H.1
  • 93
    • 1542290446 scopus 로고    scopus 로고
    • Guidelines: expression profiling-best practices for data generation and interpretation in clinical trials
    • Tumor Analysis Best Practices Working Group
    • Tumor Analysis Best Practices Working Group (2004) Guidelines: expression profiling-best practices for data generation and interpretation in clinical trials. Nat Rev Genet, 5, 229-237.
    • (2004) Nat Rev Genet , vol.5 , pp. 229-237
  • 94
    • 84889821852 scopus 로고    scopus 로고
    • Improved biclustering of microarray data demonstrated through systematic performance tests
    • in press
    • Turner, H., Bailey, T. and Krzanowski, W. (2004) Improved biclustering of microarray data demonstrated through systematic performance tests. Comput Stat Data Anal, in press.
    • (2004) Comput Stat Data Anal
    • Turner, H.1    Bailey, T.2    Krzanowski, W.3
  • 96
    • 0002226399 scopus 로고    scopus 로고
    • Bayesian model selection and model averaging
    • Wasserman, L. (2000) Bayesian model selection and model averaging. J Math Psychol, 44, 92-107.
    • (2000) J Math Psychol , vol.44 , pp. 92-107
    • Wasserman, L.1
  • 98
    • 0141958956 scopus 로고    scopus 로고
    • Gene expression profiles in the brain predict behavior in individual honey bees
    • Whitfield, C. W., Cziko, A. M. and Robinson, G. E. (2003) Gene expression profiles in the brain predict behavior in individual honey bees. Science, 302, 296-299.
    • (2003) Science , vol.302 , pp. 296-299
    • Whitfield, C.W.1    Cziko, A.M.2    Robinson, G.E.3
  • 99
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. H. (1992) Stacked generalization. Neural Networks, 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 100
    • 0038494587 scopus 로고    scopus 로고
    • A comparison of parametric versus permutation methods with applications to general and temporal microarray gene expression data
    • Xu, R. and Li, X. (2003) A comparison of parametric versus permutation methods with applications to general and temporal microarray gene expression data. Bioinformatics, 19, 1284-1289.
    • (2003) Bioinformatics , vol.19 , pp. 1284-1289
    • Xu, R.1    Li, X.2
  • 101
    • 0036319960 scopus 로고    scopus 로고
    • Design issues for cDNA microarray experiments
    • Yang, Y. H. and Speed, T. (2002) Design issues for cDNA microarray experiments. Nat Rev Genet, 3, 579-588.
    • (2002) Nat Rev Genet , vol.3 , pp. 579-588
    • Yang, Y.H.1    Speed, T.2


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