Classification of Gene Expression Data with Genetic Programming

Author:

Driscoll Joseph A.,Worzel Bill,MacLean Duncan

Publisher

Springer US

Reference18 articles.

1. Bojarczuk, C. C, Lopes, H. S., and Freitas, A. A. (2001). Data mining with constrained-syntax genetic programming: applications to medical data sets. Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001)

2. Brown, M. P. S., Grundy, W. N., Lin, D., Cristianini, N., Sugnet, C, Furey, T. S., Manuel Ares, J. & Haussler, D. (1999). Support vector machine classification of microarray gene expression data. University of Santa Cruz Technical Report. UCSC-CRL-99–09 http://www.cse.ucsc.edu/research/compbio/genex/genex.ps /research/compbio/genex/genex.ps.

3. Brown, M. P. S., Grundy, W. N., Lin, D., Cristianini, N., Sugnet, C, Furey, T. S., Manuel Ares, J. & Haussler, D. (1999). Supplemental data for “Knowledge-based analysis of microarray gene expression data by using support vector machines”, available at http://www.cse.ucsc.edu/research/compbio/genex/ .

4. Brown, M. P. S., Grundy, W. N., Lin, D., Cristianini, N., Sugnet, C., Furey, T. S., Manuel Ares, J. & Haussler, D. (2000). Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl. Acad. Sci. (USA) 97: 262–267

5. Eisen, M., Spellman, P., Brown, P., and Botstein, D. (1998). Supplemental data for “Cluster analysis and display of genome-wide expression patterns”, Proc. Nat. Acad. Sci. (USA) 95: 14863–14868, available at http://rana.stanford.edu/clustering /clustering.

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