1 |
van't Veer, L. J., van de Vijver, M. J., He, Y. D., Hart, A. A., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., Schreiber, G. J., Kerkhoven, R. M., Roberts, C., Linsley, P. S., Bernards, R. and Friend, S. H. (2002). Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415, 530-536
DOI
ScienceOn
|
2 |
김승구 (2006). Use of Factor Analyzer Normal Mixture Model with Mean Pattern Modeling on Clustering Genes. <한국통계학회논문집>, 13, 113-123
과학기술학회마을
DOI
|
3 |
김승구 (2007). Gene Clustering using Normal Mixture Model restricted Fold Change in Microarray data. Journal of the Korean Data Anlysis, 9, 127-135
|
4 |
Alon, V., Barkai, N., Notterman, D. A., Gish, K., Ybrra, S., Mack, D. and Levine, A. J. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proceedings of the National Academy of Sciences U.S.A., 96, 6745-6750
|
5 |
DeRisi, J. L., Iyer, V. R. and Brown, P. O. (1997). Exploring the metabolic and genetic control of gene expression on a genomic scale. Science, 278, 680-686
DOI
ScienceOn
|
6 |
McLachlan, G. J. and Peel, D. (2000). Finite Mixture Models. John Wiley & Sons, New York
|
7 |
McLachlan, G. J., Peel, D. and Bean, R. W. (2003) Modelling high-dimensional data by mixtures of factor analyzers. Computational Statistics & Data Analysis, 41, 379-388
DOI
ScienceOn
|
8 |
McLachlan, G. J., Do, K-A. and Ambroise, C. (2004). Analyzing Microarray Gene Expression Data. John Wiely & Sons
|