Author:
Sevugapandi N.,Chandran C. P.
Reference16 articles.
1. Benso, A., Di Carlo, S., Politano, G., Sterpone, L.: A Graph-based representation of gene expression profiles in DNA microarrays. In: Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 75–82 (2008)
2. Breiman, J., ad Friedman, L., Stone, C.J., Olshen, R.: Classification and Regression Trees. Taylor and Francis, New York (1984)
3. Zhang, H., Yu, C.-Y., Singer, B.: Cell and tumor classification using gene expression data: construction of forests. Proc. Nat. Acad. Sci. USA 100(7), 4168–4172 (2003)
4. Vapnik, V.N.: An overview of statistical learning theory. IEEE Trans. Neural Netw. 10(5), 988–999 (1999)
5. Khan, J., Wei, J.S., Ringner, M., Saal, L.H., Ladanyi, M., Wester-mann, F., Berthold, F., Schwab, M., Antonescu, C.R., Peterson, C., Meltzer, P.S.: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7(6), 673–679 (2001)