M. J. Buck and J. D. Lieb, ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments, Genomics, vol.83, issue.3, pp.349-360, 2004.
DOI : 10.1016/j.ygeno.2003.11.004

S. Cawley, Unbiased Mapping of Transcription Factor Binding Sites along Human Chromosomes 21 and 22 Points to Widespread Regulation of Noncoding RNAs, Cell, vol.116, issue.4, pp.499-509, 2004.
DOI : 10.1016/S0092-8674(04)00127-8

S. Keles, Mixture Modeling for Genome-Wide Localization of Transcription Factors, Biometrics, vol.21, issue.1, pp.10-21, 2007.
DOI : 10.1111/j.1541-0420.2005.00659.x

T. Arabidopsis and . Lhp1, Specifically Associates with Genes Marked by Trimethylation of Histone H3 Lysine 27, PLoS Genet.v, vol.3, p.6

F. Picard, A statistical approach for array CGH data analysis, BMC Bioinformatics, vol.6, issue.1, p.27, 2005.
DOI : 10.1186/1471-2105-6-27
URL : https://hal.archives-ouvertes.fr/hal-00427846

J. D. Banfield and A. E. Et-raftery, Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993.
DOI : 10.2307/2532201

G. Celeux and G. Et-govaert, Gaussian parsimonious clustering models, Pattern Recognition, vol.28, issue.5, pp.781-793, 1995.
DOI : 10.1016/0031-3203(94)00125-6
URL : https://hal.archives-ouvertes.fr/inria-00074643

L. Logiciel and M. , analyse de mélange pour la classification et l'analyse discriminante, La Revue de Modulad, vol.35, pp.25-44