R. E. Banks, M. J. Dunn, D. F. Hochstrasser, J. C. Sanchez, W. Blackstock et al., Proteomics: new perspectives, new biomedical opportunities, The Lancet, vol.356, issue.9243, pp.1749-1756, 2000.
DOI : 10.1016/S0140-6736(00)03214-1

K. Do, P. Muller, and M. Vannucci, Bayesian Inference for Gene Expression And Proteomics, 2006.
DOI : 10.1017/CBO9780511584589

C. Robert, The Bayesian Choice, 2001.
DOI : 10.1007/978-1-4757-4314-2

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, 2004.
DOI : 10.2202/1544-6115.1027

P. Szacherski, J. Giovannelli, and P. Grangeat, Joint Bayesian hierarchical inversion-classification and application in proteomics, 2011 IEEE Statistical Signal Processing Workshop (SSP), 2011.
DOI : 10.1109/SSP.2011.5967636
URL : https://hal.archives-ouvertes.fr/hal-00585529

P. Szacherski, J. Giovannelli, L. Gerfault, and P. Grangeat, Apprentissage supervisé robuste de caractéristiques de classes. Application en protéomique, Actes 23 e coll. GRETSI, 2011.

F. Adjed, J. Giovannelli, A. Giremus, N. Dridi, and P. Szacherski, Variable selection for a mixed population applied in proteomics, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.
DOI : 10.1109/ICASSP.2013.6637831
URL : https://hal.archives-ouvertes.fr/hal-00879200

G. Schwartz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

H. Akaike, A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974.
DOI : 10.1109/TAC.1974.1100705

E. I. George and R. E. Mcculloch, Variable Selection via Gibbs Sampling, Journal of the American Statistical Association, vol.36, issue.423, pp.881-889, 1993.
DOI : 10.1007/BF01889985

H. Zou and T. Hastie, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998

P. Bühlmann and T. Hothorn, Boosting Algorithms: Regularization, Prediction and Model Fitting, Statistical Science, vol.22, issue.4, pp.477-505, 2007.
DOI : 10.1214/07-STS242

Y. Benjamin and Y. Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Statist. Soc. B, vol.57, issue.1, pp.289-300, 1995.