A method for robust variable selection with significance assessment

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 83-88

  Barla, Annalisa ^a   Mosci, Sofia ^a   Rosasco, Lorenzo ^a   Verri, Alessandro ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; GENE EXPRESSION ANALYSIS; GENERAL ARCHITECTURES; PERMUTATION TESTING; REGULARIZATION PARAMETERS; STATISTICAL SIGNIFICANCE; VARIABLE SELECTION; VARIABLE SELECTION ALGORITHMS;

GENE EXPRESSION;

NEURAL NETWORKS;

EID: 84887001799     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. C. Ambroise and G.J. McLachlan. Selection bias in gene extraction on the basis of microarray gene-expression data. Proc. Natl. Acad. Sci. USA., 99(10):6562-6566, 2002.
2. T.R. Golub, D.K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J.P. Mesirov, H. Coller, M.L. Loh, J.R. Downing M.A. Caligiuri, C.D. Bloomfield, and E.S. Lander. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science, 286:531-537, 1999.
3. Y. Li, C. Campbell, and M. Tipping. Bayesian automatic relevance determination algorithms for classifying gene expression data. Bioinformatics, 18:1332-1339, 2002.
4. H. Zou and T. Hastie. Regularization and variable selection via the elastic net. J. R. Statist. Soc. B, 67, Part 2:301-320, 2005.
5. C. De Mol, E. De Vito, and L. Rosasco. Sparse tikhonov regularization for variable selection and learning. Technical report, DISI, 2007.
6. A. Destrero, S. Mosci, C. De Mol, A. Verri, and F. Odone. Feature selection for high dimensional data. Computational Management Science, to appear, 2008.
7. C. Furlanello, M. Serafini, S. Merler, and G. Jurman. Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinformatics, 4(54):DOI:10.1186/1471-2105-4-54, 2003.
8. S. Mukherjee, P. Golland, and D. Panchenko. Permutation test for classification. Technical Report AIM-2003-019, MIT, 2003.
9. D. Singh, P. G. Febbo, K. Ross, D. G. Jackson, J. Manola, C. Ladd, P. Tamayo, A. A. Renshaw, A. V. D'Amico, J. P. Richie, E. S. Lander, M. Loda, P. W. Kantoff, T. R. Golub, and W. R. Sellers. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell, 1, 2002.