Y. Benjamini and Y. Hochberg, Controlling the false dicovery rate-a practical and powerful approach to multiple testing, J.R. Statist. Soc. Ser. B, vol.57, pp.289-300, 1995.

J. Blanchet and M. Vignes, Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach, Proc. 7th IEEE BIBE, pp.366-373, 2007.

J. Blanchet, F. , and F. , Triplet Markov fields for supervised classification of complex structure data, IEEE PAMI, vol.30, pp.1055-1067, 2008.

T. H. Bo, B. Dysvik, J. , and I. , LSimpute: accurate estimation of missing values in microarray data with least square methods, Nucleic Acids Res, vol.32, p.34, 2004.

G. N. Brock, J. R. Shaffer, and R. E. Blakesley, Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes, BMC Bioinform, vol.9, p.12, 2008.

G. Celeux and J. B. Durand, Selecting hidden Markov model state number with cross-validated likelihood, Comput. Statist, vol.23, pp.541-564, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00193098

, Comment citer ce document

J. Blanchet and M. Vignes, A model-based approach to gene clustering with missing observation reconstruction in a Markov random field framework, Journal of Computational Biology, vol.16, issue.3, pp.475-486, 2009.
URL : https://hal.archives-ouvertes.fr/hal-02665301

. Blanchet and . Vignes,

G. Celeux, F. Forbes, and N. Peyrard, EM procedures using mean-field like approximations for Markov-model based image segmentation, Pattern Recog, vol.36, pp.131-144, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00072526

R. J. Cho, M. J. Campbell, and E. A. Winzeler, A genome-wide transcriptional analysis of the mitotic cell cycle, Mol. Cell, vol.2, pp.65-73, 1998.

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, J. R. Statist. Soc. Ser. B, vol.39, pp.1-38, 1977.

F. Forbes and G. Fort, Combining Monte Carlo and mean-field-like methods for inference in hidden Markov random fields, IEEE Trans. Image Process, vol.16, pp.824-837, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00846640

F. Forbes and N. Peyrard, Hidden Markov random field model selection criteria based on mean field-like approximations, IEEE Trans. Patt. Anal. Mach. Intell, vol.25, pp.1089-1101, 2003.

G. Ontology-consortium, Gene Ontology: tool for the unification of biology, Nat. Genet, vol.25, pp.25-29, 2000.

J. Hu, H. Li, and M. S. Waterman, Integrative missing value estimation for microarray data, BMC Bioinform, vol.7, p.449, 2006.

D. W. Kim, K. Y. Lee, and K. H. Lee, Towards clustering of incomplete microarray data without the use of imputation, Bioinformatics, vol.23, pp.107-113, 2007.

H. Kim, G. H. Golub, and H. Park, Missing value estimation for DNA microarray gene expression data: local least squares imputation, Bioinformatics, vol.21, pp.187-198, 2005.

R. J. Little and D. B. Rubin, Statistical Analysis with Missing Data, 2002.

G. J. Mclachlan, K. A. Do, and C. Ambroise, Analyzing Microarray Gene Expression Data, 2004.

S. Oba, M. Sato, and I. Takemasa, A Bayesian missing value estimation method, Bioinformatics, vol.19, pp.2088-2096, 2003.

M. Ouyang, W. J. Welsh, G. , and P. , Gaussian mixture clustering and imputation of microarray data, Bioinformatics, vol.20, pp.917-923, 2004.

G. Schwarz, Estimating the dimension of a model, Annals Stat, vol.6, pp.131-134, 1978.

M. S. Sehgal, I. Gondal, and L. S. Dooley, Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data, Bioinformatics, vol.21, pp.2417-2423, 2005.

P. T. Spellman, G. Sherlock, and M. Q. Zhang, Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hydridization, Mol. Biol. Cell, vol.9, pp.3273-3297, 1998.

O. Troyanskaya, M. Cantor, and G. Sherlock, Missing values estimation methods for DNA microarrays, Bioinformatics, vol.17, pp.520-525, 2001.

M. Vignes, F. , and F. , Gene clustering via integrated Markov models combining individual and pairwise features, IEEE/ACM Trans. Comput. Biol. Bioinform, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00781174

C. Von-mering, L. J. Jensen, and M. Kuhn, STRING 7-recent developments in the integration and prediction of proteins interactions, Nucleic Acids Res, vol.35, pp.358-362, 2007.

X. Wang, A. Li, and Z. Jiang, Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme, BMC Bioinform, vol.7, p.32, 2006.

K. Y. Yeung, C. Fraley, and A. Murua, Model-based clustering and data transformations for gene expression data, Bioinformatics, vol.17, pp.977-987, 2001.