Classification of Microarray Gene Expression Data by MultiBlock Dimension Reduction |
Oh, Mi-Ra
(Department of Statistics, Chonnam National University)
Kim, Seo-Young (Department of Statistics, Chonnam National University) Kim, Kyung-Sook (Department of Statistics, Chonnam National University) Baek, Jang-Sun (Department of Statistics, Chonnam National University) Son, Young-Sook (Department of Statistics, Chonnam National University) |
1 | Alan, U, Barkai, N., Notterman, D.A., Gish, K., Mack, S.Y.D. and Levine, J. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor colon tissues probed by oligonucleotide arrays. Proceedings of the National Academy of Sciences, USA. Vol. 96. 6745-6750 |
2 | Antoniadis, A., Larnber-Lacroix, S. and Leblance, F. (2003). Effective dimension reduction methods for tumor classification using gene expression data. Bioinformatics. Vol. 19. 563-570 DOI ScienceOn |
3 | Ben-Dor, A., Bruhn, L., Friedman, N., Nachman, I., Schummer, M. and Yakhini, Z. (2000). Tissue Classification with Gene Expression Profiles. Journal of Computational Biology. Vol. 7. 559-584 DOI ScienceOn |
4 | Wold, S., Hellberg, S., Lundstedt, T., Sjostrom, M. and Wold, H. (1987b). PLS modeling with latent variable in two or more dimensions. Proc. Symp. on PLS Model Building: Theory and Application. Frankfurt am Main. also Tech. Rep., Department of Organic Chemistry, Umea University |
5 | Johnson, R.A. and Wichern, D.W. (1998). Applied Multivariate Statistical Analvsis(4th ed.), Pretice Hall |
6 | van 't Veer, L.J, Dai, H., van de Vijver, M.J, He, YD., Hart, A.A.M., Mao, M., Peterse, H.L., van der Kooy, K., Marton. M.J, Witteveen, A.T., Schreiber, G.J, Kerkhoven, RM., Roberts, C., Linsley, P.S., Bernards, R and Friend, S.H. (2002). Gene expression profiling predicts clinical outcome of breast cancer. Nature. Vol. 405. 530-536 DOI ScienceOn |
7 | Dudoit, S., Fridlyand, J. and Speed, T.P. (2000). Comparison of discrimination methods for the classification of tumors using gene expression data. Technical Report 576. Department of Statistics, University of California, Berkeley |
8 | Fraley, C. and Raftery, A.E. (2002). Model-Based Clustering, Discriminant Analysis, and Density Estimation. Journal of the American Statistical Association. Vol. 94. 611-631 |
9 | Furey, T.S., Cristianini, N., Duffy, N., Shummer, B.M. and Haussler, D. (2000). Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics. Vol. 16. 906-914 DOI ScienceOn |
10 | Golub, T., Slonim, D., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J, Coller, H., Loh, M., Downing, J, Caligiuri, M., Bloomfield, C. and Lander, E. (1999). Molecular Classification of Cancer: Class discovery and class prediction by gene expression monitoring, Science. Vol. 286. 531-537 DOI ScienceOn |
11 | Nguyen, D.V. and Rocke, D.M. (2002). Tumor classification by partial least squares using microarray gene expression data. Bioinformatics. Vol. 18. 39-50 DOI ScienceOn |
12 | Wold, S., Geladt, P., Esbensen, K. and Ohman, J. (1987a). Multiway Principal Components and PLS Analysis. Journal of Chemometrics. Vol. 1. 41-56 DOI |
13 | Singh, D., Febbo, P.G., Ross, K, Jackson, D.G., Manola, J, Ladd, C., Tamayo, P., Renshaw, A.A., D'Amico, A.V., Richie, J.P., Lander, E.S., Loda, M., Kantoff, P.W., Golub, T.R and Sellers, W.R (2002). Gene expression correlates of clinical prostate cancer behavior. Cancer Cell. Vol. 1. 203-209 DOI ScienceOn |
14 | Weston, J, Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T. and Vapnik, V. (2001). Feature selection for SVMs. Advances in Neural Information Processing Systems.. Vol. 13. 668-674 |