Evaluating switching neural networks for gene selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4578 LNAI, Issue , 2007, Pages 557-562

  Ruffno, Francesca ^a   Costacurta, Massimiliano ^b   Muselli, Marco ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; LEARNING SYSTEMS; MICROARRAYS; NEURAL NETWORKS; TISSUE;

GENE SELECTION; LEARNING MACHINES; SWITCHING NEURAL NETWORKS (SNN);

GENE EXPRESSION;

EID: 37249025683     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (6)

1. Golub, T., et al.: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286, 531-537 (1999)
2. Guyon, I., Weston, J., Barnhill, S.: Gene selection for cancer classification using support vectors machines. Machine Learning 46, 389-422 (2002)
3. Muselli, M.: Switching neural networks: A new connectionist model for classification. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN 2005 and NAIS 2005. LNCS, vol. 3931, pp. 23-30. Springer, Heidelberg (2006)
4. Muselli, M.: Gene selection through switching neural networks. In: Proceedings of NETTAB-2003: Workshop on Bioinformatics for Microarrays, Bologna, Italy (2003)
5. Ruffino, F., Muselli, M., Valentini, G.: Gene expression modeling through positive Boolean functions. International Journal of Approximate Reasoning (to appear, 2007)
6. Alon, U., et al.: Broad patterns of gene expressions revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. In: Proceedings of the National Academy of Science USA 96, pp. 6745-6750 (1999)