noté ?, qui offre une r` egle d'arrêt qui n'est pas empirique ,
egle de classement linéaire donne le même résultat pour les deux sélections de variables (94% de bien-classés) La r` egle de classement quadratique en revanche est légèrement meilleure avec notre sélection de variables (99% de bien-classés contre 97%) et ce avec la variable poids en moins. Les méthodes du 1 ? N N et CART donnent des résultats voisins. Notons que les résultats de CART sont mauvais dans les deux cas, Nous pouvons donc conclure que notre algorithme fournit une liste de prédicteurs dont le pouvoir discriminant estéquivalentàestéquivalentestéquivalentà celui obtenu par la méthode classique ,
Nonrandom variations in human cancer ESTs indicate that mRNA heterogeneity increases during carcinogenesis, Proceedings of the National Academy of Sciences, vol.51, issue.8, p.7522, 2007. ,
DOI : 10.1373/clinchem.2005.053686
URL : https://hal.archives-ouvertes.fr/hal-00190918
Discriminant analyses of peanut allergy severity scores, Journal of Applied Statistics, vol.38, issue.9, 2009. ,
DOI : 10.1093/bioinformatics/bti736
URL : https://hal.archives-ouvertes.fr/hal-00643787
Biologie cellulaire et moléculaire, 2004. ,
Biologie moléculaire de la cellule, 1997. ,
Biologie cellulaire, 2004. ,
Comparaisons multiples pour les microarrays, Journal de la Société française de statistique, vol.146, issue.12, pp.45-62, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01219538
Procédures d'estimation du false discovery rate basées sur la distribution des degrés de signification, Journal de la Société française de statistique, vol.146, issue.12, pp.63-75, 2005. ,
Controlling the false discovery rate : a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society. Series B (Methodological ), vol.57, issue.1, pp.289-300, 1995. ,
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.73, issue.1, pp.187-205, 2004. ,
DOI : 10.1016/S0378-3758(99)00041-5
A simple procedure for estimating the false discovery rate, Bioinformatics, vol.100, issue.16, pp.660-668, 2005. ,
DOI : 10.1073/pnas.1530509100
URL : https://hal.archives-ouvertes.fr/inserm-00086296
Statistical significance for genomewide studies, Proceedings of the National Academy of Sciences, vol.23, issue.1, pp.9440-9445, 2003. ,
DOI : 10.1002/gepi.1124
URL : http://www.pnas.org/content/100/16/9440.full.pdf
Improving false discovery rate estimation, Bioinformatics, vol.20, issue.11, pp.1737-1745, 2004. ,
DOI : 10.1093/bioinformatics/bth160
URL : https://academic.oup.com/bioinformatics/article-pdf/20/11/1737/851149/bth160.pdf
Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values, Bioinformatics, vol.19, issue.10, pp.1236-1242, 2003. ,
DOI : 10.1093/bioinformatics/btg148
Cancer genes and the pathways they control, Nature Medicine, vol.23, issue.8, pp.789-799, 2004. ,
DOI : 10.1038/sj.onc.1207130
The Consensus Coding Sequences of Human Breast and Colorectal Cancers, Science, vol.314, issue.5797, pp.268-274, 2006. ,
DOI : 10.1126/science.1133427
Getting the Noise Out of Gene Arrays, Science, vol.306, issue.5696, p.630, 2004. ,
DOI : 10.1126/science.306.5696.630
dbSNP: the NCBI database of genetic variation, Nucleic Acids Research, vol.29, issue.1, p.308, 2001. ,
DOI : 10.1093/nar/29.1.308
Generation and analysis of 280,000 human expressed sequence tags., Genome Research, vol.6, issue.9, pp.807-828, 1996. ,
DOI : 10.1101/gr.6.9.807
dbEST ??? database for ???expressed sequence tags???, Nature Genetics, vol.35, issue.4, pp.332-333, 1993. ,
DOI : 10.1038/ng0393-266
A Greedy Algorithm for Aligning DNA Sequences, Journal of Computational Biology, vol.7, issue.1-2, pp.203-214, 2000. ,
DOI : 10.1089/10665270050081478
Practical Nonparametric Statistics, 1980. ,
Frameshift mutations at two hotspots in vasopressin transcripts in post-mitotic neurons., Proceedings of the National Academy of Sciences, vol.91, issue.13, pp.6059-6063, 1994. ,
DOI : 10.1073/pnas.91.13.6059
URL : http://www.pnas.org/content/91/13/6059.full.pdf
GenBank: update, Nucleic Acids Research, vol.32, issue.90001, p.23, 2004. ,
DOI : 10.1093/nar/gkh045
A Mechanism of Nucleotide Misincorporation during Transcription due to Template-Strand Misalignment, Molecular Cell, vol.24, issue.2, pp.245-255, 2006. ,
DOI : 10.1016/j.molcel.2006.08.014
Template Misalignment in Multisubunit RNA Polymerases and Transcription Fidelity, Molecular Cell, vol.24, issue.2, pp.257-266, 2006. ,
DOI : 10.1016/j.molcel.2006.10.001
Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments, Bioinformatics, vol.20, issue.5, pp.777-785, 2004. ,
DOI : 10.1093/bioinformatics/btg484
Use of proteomic patterns in serum to identify ovarian cancer, The Lancet, vol.359, issue.9306, pp.572-577, 2002. ,
DOI : 10.1016/S0140-6736(02)07746-2
Fatalities due to anaphylactic reactions to foods, Journal of Allergy and Clinical Immunology, vol.107, issue.1, pp.191-194, 2001. ,
DOI : 10.1067/mai.2001.112031
Predictive value of skin prick tests using recombinant allergens for diagnosis of peanut allergy, Journal of Allergy and Clinical Immunology, vol.118, issue.1, pp.250-256, 2006. ,
DOI : 10.1016/j.jaci.2006.04.053
Standardization of food challenges in patients with immediate reactions to foods - position paper from the European Academy of Allergology and Clinical Immunology, Allergy, vol.88, issue.67, pp.690-697, 2004. ,
DOI : 10.1067/mai.2001.116430
Diagnosing peanut allergy with skin prick and specific IgE testing, Journal of Allergy and Clinical Immunology, vol.115, issue.6, pp.1291-1296, 2005. ,
DOI : 10.1016/j.jaci.2005.02.038
Does skin prick test reactivity to purified allergens correlate with clinical severity of peanut allergy?, Clinical & Experimental Allergy, vol.6, issue.8, pp.108-115, 2007. ,
DOI : 10.1016/S0091-6749(97)70161-1
Does severity of low-dose, double-blind, placebo-controlled food challenges reflect severity of allergic reactions to peanut in the community?, Clinical <html_ent glyph="@amp;" ascii="&"/> Experimental Allergy, vol.314, issue.9, pp.1227-1233, 2005. ,
DOI : 10.1046/j.1365-2222.2003.01734.x
Diagnosis and Treatment of Insect Sensitivity, Journal of Asthma Research, vol.177, issue.4, pp.331-333, 1966. ,
DOI : 10.1056/NEJM195908202610803
Self-reported allergic reactions to peanut on commercial airliners?????????, Journal of Allergy and Clinical Immunology, vol.104, issue.1, p.186, 1999. ,
DOI : 10.1016/S0091-6749(99)70133-8
Long-term prospective observational study of patients with peanut and nut allergy after participation in a management plan, The Lancet, vol.357, issue.9250, pp.111-115, 2001. ,
DOI : 10.1016/S0140-6736(00)03543-1
The promiscuity of immunoglobulin E binding to peanut allergens, as determined by Western blotting, correlates with the severity of clinical symptoms, Clinical <html_ent glyph="@amp;" ascii="&"/> Experimental Allergy, vol.99, issue.6, pp.767-773, 2005. ,
DOI : 10.1067/mai.2003.1621
The elements of statistical learning : data mining, inference and prediction, 2001. ,
Statistique explicative appliquée, 2003. ,
Cours d'Analyse des données MASTER 2 IMOI, IECN, 2007. ,
Analyse Discriminante sur variables continues, Collection Didactique INRIA, vol.7, 1990. ,
An introduction to support vector machines, 2000. ,
Receiver-operating characteristic (ROC) plots : a fundamental evaluation tool in clinical medicine, Clin Chem, vol.39, issue.4, pp.561-577, 1993. ,
Stepwise Discriminant Analysis, Mathematical Methods for Digital Computers, 1960. ,
The elements of statistical learning : data mining, inference and prediction, The Mathematical Intelligencer, vol.27, issue.2, pp.83-85, 2005. ,
Boosting Algorithms: Regularization, Prediction and Model Fitting, Statistical Science, vol.22, issue.4, p.477, 2007. ,
DOI : 10.1214/07-STS242
Analyses factorielles simples et multiples, 3 ` emé edition, 1998. ,
Component-resolved diagnostics in food allergy, Current Opinion in Allergy and Clinical Immunology, vol.6, issue.3, p.234, 2006. ,
DOI : 10.1097/01.all.0000225166.90768.d6
Epidemiology of life-threatening and lethal anaphylaxis: a review, Allergy, vol.74, issue.4, pp.443-451, 2005. ,
DOI : 10.1067/mva.1989.vs0090342
Cross-allergenicity of peanut and lupine: The risk of lupine allergy in patients allergic to peanuts, Journal of Allergy and Clinical Immunology, vol.104, issue.4, pp.883-888, 1999. ,
DOI : 10.1016/S0091-6749(99)70303-9
Cell biology, 2004. ,
R : A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2007. ,
Multiple factor analysis (AFMULT package), Computational Statistics & Data Analysis, vol.18, issue.1, pp.121-140, 1994. ,
DOI : 10.1016/0167-9473(94)90135-X
Comparison of Stopping Rules in Forward Stepwise Discriminant Analysis, Journal of the American Statistical Association, vol.22, issue.368, pp.777-785, 1979. ,
DOI : 10.2307/2528518
Discriminant analysis, 1975. ,