langley p 1997 selection of relevant features and

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ue classification with gene expression S163 F.Model et al. profiles. In Proceedings of the Fifth Annual Conference on Computational Molecular Biology. In press. Bishop, C. (1995). Neural networks for pattern recognition. Oxford University Press, New York. Blum, A. & Langley, P. (1997). Selection of relevant features and examples in machine learning. Artificial Intelligence, 97, 245– 271. Bowtell, D. (1999). Options available - from start to finish - for obtaining expression data by microarray. Nature Genetics suppl., 21, 25–32. Brown, M., Grundy, W., Lin, D., Cristianini, N., Sugnet, C., Furey, T., Ares, M. & Haussler, D. (2000). Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl. Acad. Sci. USA, 97, 262–267. Christianini, N. & Shawe-Taylor, J. (2000). An Introduction to Support Vector Machines. Cambridge University Press, Cambridge. Emmert-Buck, M., Strausberg, R., Krizman, D., Bonaldo, M., Bonner, R., Bostwick, D., Brown, M., Buetow, K., Chuaqui, R., Cole, K., Duray, P., Englert, C., Gillespie, J., Greenhut, S., Grouse, L., Hillier, L., Katz, K., Klausner, R., Kuznetzov, V., Lash, A., Lennon, G., Linehan, W., Liotta, L., Marra, M., Munson, P., Ornstein, D., Prabhu, V., Prange, C., Schuler, G., Soares, M., Tolstoshev, C., Vocke, C. & Waterston, R. (2000). Molecular profiling of clinical tissue specimens: feasibility and applications. Am. J. Pathol., 156, 1109–1115. Frommer, M., McDonald, L., Millar, D., Collis, C., Watt, F., Grigg, G., Molloy, P. & Paul, C. (1992). A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc. Natl. Acad. Sci. USA, 89, 1827– 1831. Gaasterland, T. & Bekiranov, S. (2000). Making the most of microarry data. Nature Genetics, 24, 204–206. Golub, T., Slonim, D., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J., Coller, H., Loh, M., Downing, J., Caligiuri, M., Bloomfield, C. & Lander, E. (1999). Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science, 286, 531–537. Lockhart, D. & Winzeler, E. (2000). Genomics, gene expression and DNA arrays. Nature, 405, 827–836. Mendenhall, W. & Sincich, T. (1995). Statistics for engineering and the sciences. Prentice-Hall, New Jersey. Robertson, K. & Wolffe, A. (2000). DNA methylation in health and disease. Nature Reviews Genetics, 1, 11–19. Vapnik, V. (1998). Statistical Learning Theory. Wiley, New York. Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T. & Vapnik, V. (2001). Feature selection for SVMs. In Advances in Neural Information Processing Systems, volume 13. MIT Press, Cambridge, MA. In press. S164...
View Full Document

This note was uploaded on 04/06/2010 for the course COMPUTER S COSC1520 taught by Professor Paul during the Spring '09 term at York University.

Ask a homework question - tutors are online