A. Alizadeh, M. Eisen, R. Davis, I. Lossos, A. Rosenwald et al., Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling, Nature, vol.303, issue.6769, pp.503-522, 2000.
DOI : 10.1038/35000501

D. Beer, S. Kardia, C. Huang, T. Giordano, A. Levin et al., Gene-expression profiles predict survival of patients with lung adenocarcinoma, Nature Medicine, vol.8, pp.816-824, 2002.
DOI : 10.1038/nm733

T. Golub, D. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek et al., Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring, Science, vol.286, issue.5439, pp.531-537, 1999.
DOI : 10.1126/science.286.5439.531

F. Bertucci, V. Nasser, S. Granjeaud, F. Eisinger, A. J. Tagett et al., Gene expression profiles of poor-prognosis primary breast cancer correlate with survival, Human Molecular Genetics, vol.11, issue.8, pp.863-872, 2002.
DOI : 10.1093/hmg/11.8.863

T. Sorlie, C. Perou, R. Tibshirani, T. Aas, S. Geisler et al., Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications, Proceedings of the National Academy of Sciences, vol.179, issue.1, pp.10869-10874, 2001.
DOI : 10.1002/(SICI)1096-9896(199605)179:1<31::AID-PATH523>3.0.CO;2-O

G. Russo, C. Zegar, and A. Giordano, Advantages and limitations of microarray technology in human cancer, Oncogene, vol.22, issue.42, pp.6497-6507, 2003.
DOI : 10.1038/sj.onc.1206865

R. Kothapalli, S. Yoder, S. Mane, and T. Loughran, Microarray results: how accurate are they?, BMC Bioinformatics, vol.3, issue.1, p.22, 2002.
DOI : 10.1186/1471-2105-3-22

P. Tan, T. Downey, E. Spitznagel, P. Xu, D. Fu et al., Evaluation of gene expression measurements from commercial microarray platforms, Nucleic Acids Research, vol.31, issue.19, pp.5676-5684, 2003.
DOI : 10.1093/nar/gkg763

P. Spellman, M. Miller, J. Stewart, C. Troup, U. Sarkans et al., Design and implementation of microarray gene expression markup language (MAGE-ML), Genome Biology, vol.39, pp.46-47, 2002.

A. Brazma, A. Robinson, G. Cameron, and M. Ashburner, One-stop shop for microarray data, Nature, vol.403, issue.6771, pp.699-700, 2000.
DOI : 10.1038/35001676

F. Bertucci, S. Van-hulst, K. Bernard, B. Loriod, S. Granjeaud et al., Expression scanning of an array of growth control genes in human tumor cell lines, Oncogene, vol.18, issue.26, pp.3905-3912, 1999.
DOI : 10.1038/sj.onc.1202731

F. Bertucci, K. Bernard, B. Loriod, Y. Chang, S. Granjeaud et al., Sensitivity Issues in DNA Array-Based Expression Measurements and Performance of Nylon Microarrays for Small Samples, Human Molecular Genetics, vol.8, issue.9, pp.1715-1722, 1999.
DOI : 10.1093/hmg/8.9.1715

B. Loriod, G. Victorero, and C. Nguyen, cDNA Macroarrays and microarrays on Nylon Membranes with Radioactivite detection, DNA Microarrays: Gene Expression Applications Edited by: Jordan B, pp.57-84, 2001.

J. Cox, Applications of nylon membrane arrays to gene expression analysis, Journal of Immunological Methods, vol.250, issue.1-2, pp.3-13, 2001.
DOI : 10.1016/S0022-1759(01)00302-7

S. Audic and G. Zanetti, Automatic reading of hybridization filter images, Comput Appl Biosci, vol.11, pp.489-495, 1995.

T. Therneau, R. Tschumper, and D. Jelinek, Sharpening spots: correcting for bleedover in cDNA array images, Mathematical Biosciences, vol.176, issue.1, pp.1-15, 2002.
DOI : 10.1016/S0025-5564(01)00101-8

R. Herwig, P. Aanstad, M. Clark, and H. Lehrach, Statistical evaluation of differential expression on cDNA nylon arrays with replicated experiments, Nucleic Acids Research, vol.29, issue.23, p.117, 2001.
DOI : 10.1093/nar/29.23.e117

J. Schuchhardt, D. Beule, A. Malik, E. Wolski, H. Eickhoff et al., Normalization strategies for cDNA microarrays, Nucleic Acids Research, vol.28, issue.10, p.47, 2000.
DOI : 10.1093/nar/28.10.e47
URL : http://doi.org/10.1093/nar/28.10.e47

T. Beissbarth, K. Fellenberg, B. Brors, R. Arribas-prat, J. Boer et al., Processing and quality control of DNA array hybridization data, Bioinformatics, vol.16, issue.11, pp.1014-1022, 2000.
DOI : 10.1093/bioinformatics/16.11.1014

W. Machl and C. Schaab, Improving DNA array data quality by minimising 'neighbourhood' effects, Nucleic Acids Research, vol.30, issue.22, p.127, 2002.
DOI : 10.1093/nar/gnf127
URL : http://doi.org/10.1093/nar/gnf127

C. Pelizzari, N. Khodarev, N. Gupta, D. Calvin, and R. Weichselbaum, Quantitative analysis of DNA array autoradiographs, Nucleic Acids Research, vol.28, issue.22, pp.4577-4581, 2000.
DOI : 10.1093/nar/28.22.4577

C. Thieblemont, V. Nasser, P. Felman, K. Leroy, S. Gazzo et al., Small lymphocytic lymphoma, marginal zone B-cell lymphoma, and mantle cell lymphoma exhibit distinct gene-expression profiles allowing molecular diagnosis, Blood, vol.103, issue.7, pp.2727-2737, 2004.
DOI : 10.1182/blood-2003-06-2160

M. El-atifi, I. Dupre, B. Rostaing, A. Benabid, and F. Berger, Quantification of DNA probes on nylon microarrays using T4 polynucleotide kinase labeling, Biotechniques, vol.35, pp.262-264, 2003.

C. Nguyen, D. Rocha, S. Granjeaud, M. Baldit, K. Bernard et al., Differential Gene Expression in the Murine Thymus Assayed by Quantitative Hybridization of Arrayed cDNA Clones, Genomics, vol.29, issue.1, pp.207-216, 1995.
DOI : 10.1006/geno.1995.1233

W. Zuidervaart, P. Van-der-velden, M. Hurks, F. Van-nieuwpoort, C. Out-luiting et al., Gene expression profiling identifies tumour markers potentially playing a role in uveal melanoma development, British Journal of Cancer, vol.89, issue.10, pp.1914-1919, 2003.
DOI : 10.1038/sj.bjc.6601374

K. Yoneda, K. Peck, M. Chang, K. Chmiel, Y. Sher et al., Development of High-density DNA Microarray Membrane for Profiling Smoke- and Hydrogen Peroxide-induced Genes in a Human Bronchial Epithelial Cell Line, American Journal of Respiratory and Critical Care Medicine, vol.164, issue.supplement_2, pp.85-89, 2001.
DOI : 10.1164/ajrccm.164.supplement_2.2106062

A. Brazma, P. Hingamp, J. Quackenbush, G. Sherlock, P. Spellman et al., Minimum information about a microarray experiment (MIAME)-toward standards for microarray data, Nature Genetics, vol.29, issue.4, pp.365-371, 2001.
DOI : 10.1038/ng1201-365

W. Wruck, H. Griffiths, M. Steinfath, H. Lehrach, U. Radelof et al., Xdigitise: visualization of hybridization experiments, Bioinformatics, vol.18, issue.5, pp.757-760, 2002.
DOI : 10.1093/bioinformatics/18.5.757

B. Stillman and J. Tonkinson, Expression Microarray Hybridization Kinetics Depend on Length of the Immobilized DNA but Are Independent of Immobilization Substrate, Analytical Biochemistry, vol.295, issue.2, pp.149-157, 2001.
DOI : 10.1006/abio.2001.5212

S. Granjeaud, C. Nguyen, D. Rocha, R. Luton, and B. Jordan, From hybridization image to numerical values: a practical, high throughput quantification system for high density filter hybridizations, Genetic Analysis: Biomolecular Engineering, vol.12, issue.3-4, pp.151-162, 1996.
DOI : 10.1016/1050-3862(95)00128-X

N. Brändle, H. Bischof, and H. Lapp, A Generic and Robust Approach for the Analysis of Spot Array Images, Proc SPIE ? Microarrays: Optical Technologies and Informatics, pp.1-12, 2001.

N. Brändle, H. Chen, H. Bischof, and H. Lapp, Robust Parametric and Semi-parametric Spot Fitting for Spot Array Images, Proc Int Conf Intell Syst Mol Biol, pp.46-56, 2000.

M. Eisen, P. Spellman, P. Brown, and D. Botstein, Cluster analysis and display of genome-wide expression patterns, Proceedings of the National Academy of Sciences, vol.24, issue.2, pp.14863-14828, 1998.
DOI : 10.1016/0092-8674(81)90326-3