E. Ben-yaacov and Y. C. Eldar, A fast and flexible method for the segmentation of aCGH data, Bioinformatics, vol.24, issue.16, pp.24-139, 2008.
DOI : 10.1093/bioinformatics/btn272

R. C. Gentleman, V. J. Carey, and D. M. Bates, Bioconductor: Open software development for computational biology and bioinformatics, Genome Biology, vol.5, issue.10, p.80, 2004.
DOI : 10.1186/gb-2004-5-10-r80

H. Hoefling, A Path Algorithm for the Fused Lasso Signal Approximator, Journal of Computational and Graphical Statistics, vol.19, issue.4, 2009.
DOI : 10.1198/jcgs.2010.09208

P. Hupé, N. Stransky, J. Thiery, F. Radvanyi, and E. Barillot, Analysis of array CGH data: from signal ratio to gain and loss of DNA regions, Bioinformatics, vol.20, issue.18, pp.20-3413, 2004.
DOI : 10.1093/bioinformatics/bth418

I. Janoueix-lerosey, G. Schleiermacher, E. Michels, V. Mosseri, A. Ribeiro et al., Overall Genomic Pattern Is a Predictor of Outcome in Neuroblastoma, Journal of Clinical Oncology, vol.27, issue.7, pp.27-1026, 2009.
DOI : 10.1200/JCO.2008.16.0630

URL : https://hal.archives-ouvertes.fr/inserm-00369944

L. Rosa, P. Viara, E. Hupé, P. Pierron, G. Liva et al., VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles, Bioinformatics, vol.22, issue.17, pp.22-2066, 2006.
DOI : 10.1093/bioinformatics/btl359

URL : https://hal.archives-ouvertes.fr/hal-01199867

M. Lavielle, Using penalized contrasts for the change-point problem, Signal Processing, vol.85, issue.8, pp.1501-1510, 2005.
DOI : 10.1016/j.sigpro.2005.01.012

URL : https://hal.archives-ouvertes.fr/inria-00070662

F. Picard, S. Robin, M. Lavielle, C. Vaisse, and J. Daudin, A statistical approach for array CGH data analysis, BMC Bioinformatics, vol.6, issue.27, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00427846

F. Picard, E. Lebarbier, M. Hoebeke, G. Rigaill, B. Thiam et al., Joint segmentation, calling, and normalization of multiple CGH profiles, Biostatistics, vol.12, issue.3, pp.12-413, 2011.
DOI : 10.1093/biostatistics/kxq076

URL : https://hal.archives-ouvertes.fr/hal-01019859

R. Development and C. Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2011.

A. Ritz, P. Paris, M. Ittmann, C. Collins, R. et al., Detection of recurrent rearrangement breakpoints from copy number data, BMC Bioinformatics, vol.12, issue.1, p.114, 2011.
DOI : 10.1093/bioinformatics/btn335

B. C. Russell, A. Torralba, K. P. Murphy, F. , and W. T. , LabelMe: A Database and Web-Based Tool for Image Annotation, International Journal of Computer Vision, vol.3, issue.1, pp.1-3, 2008.
DOI : 10.1007/s11263-007-0090-8

G. Schleiermacher, I. Janoueix-lerosey, A. Ribeiro, J. Klijanienko, J. Couturier et al., Accumulation of Segmental Alterations Determines Progression in Neuroblastoma, Journal of Clinical Oncology, vol.28, issue.19, pp.28-3122, 2010.
DOI : 10.1200/JCO.2009.26.7955

S. P. Shah, X. Xuan, R. J. Deleeuw, M. Khojasteh, W. L. Lam et al., Integrating copy number polymorphisms into array CGH analysis using a robust HMM, Bioinformatics, vol.22, issue.14, pp.22-431, 2006.
DOI : 10.1093/bioinformatics/btl238

URL : http://bioinformatics.oxfordjournals.org/cgi/content/short/22/14/e431

S. Theußl and A. Zeileis, Collaborative Software Development Using R-Forge, The R Journal, vol.1, issue.1, pp.9-14, 2009.

R. Tibshirani and P. Wang, Spatial smoothing and hot spot detection for CGH data using the fused lasso, Biostatistics, vol.9, issue.1, 2007.
DOI : 10.1093/biostatistics/kxm013

E. S. Venkatraman and A. B. Olshen, A faster circular binary segmentation algorithm for the analysis of array CGH data, Bioinformatics, vol.23, issue.6, pp.657-663, 2007.
DOI : 10.1093/bioinformatics/btl646

J. Vert and K. Bleakley, Fast detection of multiple change-points shared by many signals using group LARS, Advances in Neural Information Processing Systems 23 (NIPS), pp.2343-2351, 2010.

R. A. Weinberg, The Biology of Cancer, Garland Science, 2006.

H. Willenbrock and J. Fridlyand, A comparison study: applying segmentation to array CGH data for downstream analyses, Bioinformatics, vol.21, issue.22, pp.4084-4091, 2005.
DOI : 10.1093/bioinformatics/bti677

N. R. Zhang and D. O. Siegmund, A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data, Biometrics, vol.6, issue.1, pp.22-32, 2007.
DOI : 10.1111/j.1541-0420.2006.00662.x

Z. Zhang, K. Lange, R. Ophoff, and C. Sabatti, Reconstructing DNA copy number by penalized estimation and imputation, The Annals of Applied Statistics, vol.4, issue.4, pp.1749-1773, 2010.
DOI : 10.1214/10-AOAS357

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092301