E. L. Allwein, R. E. Schapire, and Y. Singer, Reducing multiclass to binary: A unifying approach for margin classifiers, Journal of Machine Learning Research, vol.1, pp.113-141, 2000.

C. Ambroise and G. J. Mclachlan, Selection bias in gene extraction on the basis of microarray gene-expression data, Proceedings of the National Academy of Sciences, vol.99, issue.10, pp.6562-6566, 2002.
DOI : 10.1073/pnas.102102699

A. Boulesteix, C. Strobl, T. Augustin, and M. Daumer, Evaluating microarray-based classifiers: an overview, 2007.

P. G. Bryant, Large-sample results for optimization-based clustering methods, Journal of Classification, vol.4, issue.4, pp.31-44, 1991.
DOI : 10.1007/BF02616246

P. R. Bushel, A. N. Heinloth, J. Li, L. Huang, J. W. Chou et al., Blood gene expression signatures predict exposure levels, Proceedings of the National Academy of Sciences, vol.104, issue.46, pp.18211-18216, 2007.
DOI : 10.1073/pnas.0706987104

G. Celeux and G. Govaert, A classification EM algorithm for clustering and two stochastic versions, Computational Statistics & Data Analysis, vol.14, issue.3, pp.315-332, 1992.
DOI : 10.1016/0167-9473(92)90042-E

URL : https://hal.archives-ouvertes.fr/inria-00075196

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

J. F. Dillman, C. S. Phillips, L. M. Dorsch, M. D. Croxton, A. I. Hege et al., Genomic Analysis of Rodent Pulmonary Tissue Following Bis-(2-chloroethyl) Sulfide Exposure, Chemical Research in Toxicology, vol.18, issue.1, pp.28-34, 2005.
DOI : 10.1021/tx049745z

A. Dupuy and R. Simon, Critical Review of Published Microarray Studies for Cancer Outcome and Guidelines on Statistical Analysis and Reporting, JNCI Journal of the National Cancer Institute, vol.99, issue.2, pp.147-157, 2007.
DOI : 10.1093/jnci/djk018

R. D. Fannin, J. T. Auman, M. E. Bruno, S. O. Sieber, S. M. Ward et al., Differential gene expression profiling in whole blood during acute systemic inflammation in lipopolysaccharide-treated rats, Physiological Genomics, vol.21, issue.1, pp.92-104, 2005.
DOI : 10.1152/physiolgenomics.00190.2004

B. Krishnapuram, L. Carin, and A. Hartemink, Gene expression analysis: Joint feature selection and classifier design, pp.299-318, 2004.

S. Michiels, S. Koscielny, and C. Hill, Prediction of cancer outcome with microarrays: a multiple random validation strategy, The Lancet, vol.365, issue.9458, pp.488-492, 2005.
DOI : 10.1016/S0140-6736(05)17866-0

G. K. Smyth, Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments, Statistical Applications in Genetics and Molecular Biology, vol.3, issue.1, p.3, 2004.
DOI : 10.2202/1544-6115.1027

S. Wold, L. Martens, and H. Wold, The multivariate calibration problem in chemistry solved by the PLS method, Proceedings Conf. Matrix Pencils, pp.286-293, 1983.
DOI : 10.1080/00401706.1978.10489693