References
- Alon, U., Barkai, N., Notterman, D., Gish, K., Ybarra, S., Mack, D. and Levine, A. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonu-cleotide arrays, Proceedings of the National Academy of Sciences of the United States of America, 96, 6745-6750. https://doi.org/10.1073/pnas.96.12.6745
- Alter, O., Brown, P. O. and Botstein, D. (2000). Singular value decomposition for genome-wide expression data processing and modeling, Proceedings of the National Academy of Sciences of the United States of America, 97, 10101-10106. https://doi.org/10.1073/pnas.97.18.10101
- Anderson, T. W. (1984). An Introduction to Multivariate Statistical Analysis, Wiley, New York.
- Gan, X., Liew, A. and Yan, H. (2006). Microarray missing data imputation based on a set theoretic framework and biological knowledge, Nucleic Acids Research, 34, 1608-1619. https://doi.org/10.1093/nar/gkl047
- Golub, G. H. and Van Loan, C. F. (1996). Matrix Computations, Johns Hopkins University Press, Baltimore, MD.
- Hartigan, J. A. and Wong, M. A. (1979). Algorithm AS 136: A K-means clustering algorithm, Journal of the Royal Statistical Series C, 28, 100-108. https://doi.org/10.2307/2346830
- Hedenfalk, I., Duggan, D., Chen, Y., Radmacher, M., Bittner, M., Simon, R., Meltzer, P., Gusterson, B., Esteller, M. and Mark, R. (2001). Gene-expression profiles in hereditary breast cancer, The New England Journal of Medicine, 344, 539-548. https://doi.org/10.1056/NEJM200102223440801
- Kaufman, L. and Rousseeuw, P. J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley, New York.
- Khan, J., Wei, J., Ringner, M., Saal, L., Ladanyi, M., Westermann, F., Berthold, F., Schwab, M., Antonescu, C. R., Peterson, C. and Meltzer, P. (2001). Classification and diagnostic prediction of cancers using expression profiling and artificial neural networks, Nature Medicine, 7, 673-679. https://doi.org/10.1038/89044
- Kim, D. W., Lee, K. Y., Lee, K. H. and Lee, D. (2006). Towards clustering of incomplete microarray data without the use of imputation, Bioinformatics, 23, 107-113.
- Le, K., Mitsouras, K., Roy, M., Wang, Q., Xu, Q., Nelson, S. F. and Lee, C. (2004). Detecting tissue-specific regulation of alternative splicing as a qualitative change in microarray data, Nucleic Acids Research, 32, e180. https://doi.org/10.1093/nar/gnh173
- Ouyang, M., Welsh, W. J. and Georgopoulos, P. (2004). Gaussian mixture clustering and imputation of microarray data, Bioinformatics, 20, 917-923. https://doi.org/10.1093/bioinformatics/bth007
- Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, 20, 53-65. https://doi.org/10.1016/0377-0427(87)90125-7
- Tibshirani, R., Walther, G. and Hastie, T. (2001). Estimating the number of data lusters via the gap statistic, Journal of the Royal Statistical Society: Series B, 63, 411-423. https://doi.org/10.1111/1467-9868.00293
- Troyanskaya,O. G., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D. and Altman, R. B. (2001). Missing value estimation methods for DNA microarrays, Bioinformatics, 17, 520-525. https://doi.org/10.1093/bioinformatics/17.6.520