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제어·자동화·시스템공학 논문지 = Journal of control, automation and systems engineering, v.10 no.12, 2004년, pp.1172 - 1180
조지훈 (포항공과대학교 화학공학과) , 이동권 (LG화학) , 이민영 (포항공과대학교 화학공학과) , 이인범 (포항공과대학교 화학공학과)
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Recently, the gene expression data, product of high-throughput technology, appeared in earnest and the studies related with it (so-called bioinformatics) occupied an important position in the field of biological and medical research. The microarray is a revolutionary technology which enables us to m...
J. Quackenbush, 'Computational genetics: computational analysis of microarray data,' Nature. Rev. Geneitics, vol. 2, pp. 418-427, 2001
A. A. Alizadeh, M. B. Eisen, R. E. Davis, C. Ma, S. Losses, A. Rosenwald, J. C. Boldrick, H. Sabet, T. Tran, X. Yu, J. I. Powell, L. Yang, G. E. Marti, T. Moore, J. Hudson Jr., L. Lu, D. B. Lewis, R. Tibshirani, G. Sherlock, W. C. Chan, T. C. Greiner, D. D. Weisenburger, J. O. Armitage, R. Warnke, R. Levy, W. Wilson, M. R. Grever, J. C. Byrd, D. Botstein, P. O. Brown, and L. M. Staudt, 'Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling,' Nature, vol. 403, pp. 503-511, 2000
U. Alon, N. Barkai, D. A. Notterman, K. Gish, Y. Barra, 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,' Proceedings of National Academy of Science USA, vol. 96, pp. 6745-6750, 1999
S. A. Armstrong, J. E. Staunton, L. B. Silverman, R. Rieters, M. L. den Boer, M. D. Minden, S. E. SaIlan, E. S. Lander, T. R. Golub and S. J. Korsmeyer, 'MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia,' Nature Genetics, vol. 30, pp. 41-47, 2002
T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield and E. S. Lander, 'Molecular classification of cancer: class discovery and class prediction by gene expression monitoring,' Science, vol. 286, pp. 531-537, 1999
X. Chen, S. T. Cheung, S. So, S. T. Fan, C. Barry, J. Higgins, K.-M. Lai, S. Dudoit, I. O. L. Ng, M. van de Rijn, D. Botstein and P. O. Brown, 'Gene expression patterns in human liver cancers,' Molecular Biology of the Cell, vol. 13, pp. 1929-1939, 2002
D. A. Notterman, U. Alon, A. J. Sierk and A. J. Levine, 'Transcriptional gene expression profiles of colorectaI adenoma, adenocarcinoma and normal tissue examined by oligonucleotide array,' Cancer Research, vol. 61, pp. 3124-3130, 2001
M. A. Shipp, K. N. Ross, P. Tamayo, A. P. Weng, J. L. Kutok, R. C. T. Aguiar, M. Gaasenbeek, M. Angelo, M. Reich, G. S. Pinkus, T. S. Ray, M. A. Koval, K. W. Last, A. Norton, A. Lister, J. Mesirov, D. S. Neuberg, E. S. Lander, J. C. Aster and T. R. Golub, 'Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning,' Nature Medicine, vol. 8, pp. 68-74, 2002
D. Singh, P. G. Febbo, K. Ross, D. G. Jackson, J. Manola, C. Ladd, P. Tamayo, A. A. Renshaw, A. V. D'Amico, J. P. Richie, E. S. Lander, M. Loda, P. W. Kantoff, T. R. Golub and W. R. Sellers, 'Gene expression correlates of clinical prostate cancer behavior,' Cancer Cell, vol. 1, pp. 203-209, 2002
L. van't Veer, H. Dai, M. J. van de Vijver, Y. D. He, A. A. M. Hart, M. Mao, H. L. Peterse, K. van der Kooy, M. J. Marton, A. T. Witteveen, G. J. Schreiber, R. M. Kerkhoven, C. Roberts, P. S. Linsley, R. Bernards and S. H. Friend, 'Gene expression profiling predicts clinical outcome of breast cancer,' Nature, vol. 415, pp. 530-536, 2002
B. M. Bolstad, R. A. Irizarry, M. Astrand and T. P. Speed, 'A comparison of normalization methods for high density oligonucleotide array data based on variance and bias,' Bioinformatics, vol. 19, pp. 185-193, 2003
Y. H. Yang, S. Dudoit, P. Luu, D. M. Lin, V. Peng, J. Ngai and T. P. Speed, 'Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation,' Nucleic Acids Research, vol. 30, pp. e15, 2002
G. Sherlock, 'Analysis of large-scale gene expression data,' Current Opinion in Immunology, vol. 12, pp. 201-205, 2000
R. Tibshirani, T. Hastie, B. Narasimhan and G. Chu, 'Diagnosis of multiple cancer types by shrunken centroids of gene expression,' Proceedings of National Academy of Science USA, vol. 99, pp. 6567-6572, 2002
V. G. Tusher, R. Tibshirani and G. Chu, 'Significance analysis of microarrays applied to the ionizing radiation response,' Proceedings of National Academy of Science USA, vol. 98, pp. 5116-5121, 2001
Y. Lu and J. Han, 'Cancer classification using gene expression data,' Information Systems, vol. 28, pp. 243-268, 2003
I. Guyon, J. Weston, S. Barnhill and V. Vapnik, 'Gene Selection for Cancer Classification using Support Vector Machines,' Machine Learning, vol. 46, pp. 389-422, 2002
Y. Lee and C. Lee, 'Classification of multiple cancer types by multicategory support vector machines using gene expression data,' Bioinformatics, vol. 19, pp. 1132-1139, 2003
M. Defernez and E. K. Kemsley, 'The use and misuse of chemometrics for treating classification problems,' Trends in Analytical Chemistry, vol. 16, pp. 216-221,1997
A. Brazma and J. Vilo, 'Gene expression data analysis,' FEBS Letters, vol. 480, pp. 17-24, 2000
S. Sharma, Applied Multivarate Techniques, John Wiley and Sons, New York, 1996
S. Dudoit, Y. H. Yang, T. P. Speed and M. J. Callow, 'Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments,' Statistica Sinica, vol. 12, pp.111-139, 2002
R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis, Third Edition, Prentice Hall, 1992
G. H. Golub and C. F. van Loan, Matrix Computations, The Johns Hopkins University Press, 1983
L. H. Chiang, E. Russell and R. D. Braatz, 'Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis,' Chemometrics and Intelligent Laboratory Systems, vol. 50, pp. 243-252, 2000
J.-H. Cho, D. Lee, J. H. Park, K. Kim and I.-B. Lee, 'Optimal approach for classification of acute leukemia subtypes based on gene expression data,' Biotechnology Progress, vol. 18, pp. 847-854, 2002
B. Scholkopf, A. Smola and K.-R. Muller, 'Nonlinear component analysis as a kernel eigenvalue problem,' Neural Computation, vol. 10, pp. 1299-1319, 1998
S. Mika, G. Ratsch, J. Weston, B. Scholkopf and K.-R. Muller, 'Fisher discriminant analysis with kernels,' Proc. IEEE Neural Networks for Signal Processing Workshop, pp. 41-48, 1999
S. Haykin, Neural Networks : a comprehensive foundation, Second edition, Prentice Hall, 1999
D. Lee, S. W. Choi, M. Kim, J. H. Park, M. Kim, J. Kim and I.-B. Lee, 'Discovery of differentially expressed genes related to histological subtype of hepatocellular carcinoma,' Biotechnology Progress, vol. 19, pp. 1011-1015, 2003
J. Khan, J. S. Wei, M. Ringner, L. H. Saal, M. Ladanyi, F. Westermann, F. Berthold, M. Schwab, C. R. Antonescu, C. Peterson and P. S. Meltzer, 'Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks,' Nature Medicine, vol. 7, pp. 673-679, 2001
J. Fridlyand, S. Dudoit and T. P. Speed, 'Comparison of discrimination methods for the classification of tumors using gene expression data,' Journal of the American Statistical Association, vol. 97, pp. 77-87, 2002
A. Ben-Dor, L. Bruhn, N. Friedman, I. Nachman, M. Schummer and Z. Yakhini, 'Tissue classification with gene expression profiles,' Journal of Computational Biology, vol. 7, pp. 559-583, 2000
I. Hedenfalk, D. Duggan, Y. Chen, M. Radmacher, M. Bittner, R. Simon, P. Meltzer, B. Gusterson, M. Esteller, O.-P. Kallioniemi, B. Wilfond, A. Borg. and J. Trent 'Gene-expression profiles in hereditary breast cancer,' New England Journal of Medicine, vol. 344, pp. 539-548, 2001
A. Rakotomamonjy, 'Variable selection using SVM-based criteria,' Journal of Machine Learning Research, vol. 3, pp. 1357-1370, 2003
J. Xu, X. Zhang and Y. Li, 'Kernel MSE algorithm: A unified framework for KFD, LS-SVM and KRR,' Proceeding of International Joint Conference on Neural Networks 2001, pp. 1486-1491, 2001
R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, Second Edition, John Wiley & Sons, 2001
J.-H. Cho, D. Lee, J. H. Park and I.-B. Lee, 'New gene selection method for classification of cancer subtypes considering withinclass variation,' FEBS Letters, vol. 551, pp. 3-7, 2003
J.-H. Cho, D. Lee, J. H. Park and I.-B. Lee, 'Gene selection and classification from microarray data using kernel machine,' FEBS Letters, vol. 571, pp. 93-98, 2004
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