Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers, BMC Bioinformatics, vol.11, issue.1, p.594, 2010. ,
DOI : 10.1186/1471-2105-11-594
URL : https://hal.archives-ouvertes.fr/inserm-00624800
CE-MS-based proteomics in biomarker discovery and clinical application, PROTEOMICS - Clinical Applications, vol.65, issue.3-4, pp.3-4322, 2015. ,
DOI : 10.1002/prca.201400115
Gene ranking and biomarker discovery under correlation, Bioinformatics, vol.25, issue.20, pp.2700-2707, 2009. ,
DOI : 10.1093/bioinformatics/btp460
Urine proteomics in the diagnosis of stable angina, BMC Cardiovascular Disorders, vol.17, issue.1, p.70, 2016. ,
DOI : 10.1161/01.ATV.17.10.1859
Urinary proteomic diagnosis of coronary artery disease: identification and clinical validation in 623 individuals, Journal of Hypertension, vol.28, issue.11, pp.2316-2338, 2010. ,
DOI : 10.1097/HJH.0b013e32833d81b7
The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)???methods and response rates, Diabetes Research and Clinical Practice, vol.57, issue.2, pp.119-148, 2002. ,
DOI : 10.1016/S0168-8227(02)00025-6
Association of central and peripheral pulse pressure with intermediate cardiovascular phenoytpes, Journal of Hypertension, vol.30, issue.1, pp.67-74, 2012. ,
DOI : 10.1097/HJH.0b013e32834e12d8
Technical aspects and inter-laboratory variability in native peptide profiling: The CE???MS experience, Clinical Biochemistry, vol.46, issue.6, pp.432-475, 2013. ,
DOI : 10.1016/j.clinbiochem.2012.09.025
Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis, The Lancet Oncology, vol.7, issue.3, pp.230-270, 2006. ,
DOI : 10.1016/S1470-2045(06)70584-8
Discovery of biomarkers in human urine and cerebrospinal fluid by capillary electrophoresis coupled to mass spectrometry: Towards new diagnostic and therapeutic approaches, ELECTROPHORESIS, vol.18, issue.7-8, pp.7-81476, 2005. ,
DOI : 10.1002/elps.200410140
Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry, Rapid Communications in Mass Spectrometry, vol.18, issue.2, pp.149-56, 2004. ,
DOI : 10.1002/rcm.1294
Identification and Validation of Urinary Biomarkers for Differential Diagnosis and Evaluation of Therapeutic Intervention in Anti-neutrophil Cytoplasmic Antibody-associated Vasculitis, Molecular & Cellular Proteomics, vol.8, issue.10, pp.2296-307, 2009. ,
DOI : 10.1074/mcp.M800529-MCP200
Quantitative Urinary Proteome Analysis for Biomarker Evaluation in Chronic Kidney Disease, Journal of Proteome Research, vol.8, issue.1, pp.268-81, 2009. ,
DOI : 10.1021/pr800401m
Technical, bioinformatical and statistical aspects of liquid chromatography???mass spectrometry (LC???MS) and capillary electrophoresis-mass spectrometry (CE-MS) based clinical proteomics: A critical assessment???, Journal of Chromatography B, vol.877, issue.13, pp.1250-1258, 2009. ,
DOI : 10.1016/j.jchromb.2008.10.048
CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics, PROTEOMICS - CLINICAL APPLICATIONS, vol.19, issue.7-8, pp.7-8964, 2008. ,
DOI : 10.1681/ASN.2007091025r1
Urinary Proteomics in Diabetes and CKD, Journal of the American Society of Nephrology, vol.19, issue.7, pp.1283-90, 2008. ,
DOI : 10.1681/ASN.2007091025
Controlling the false discovery rate -a practical and powerful approach to multiple testing, J Roy Stat Soc B Met, vol.57, issue.1, pp.289-300, 1995. ,
Gene selection and classification of microarray data using random forest, BMC Bioinformatics, vol.7, issue.1, p.3, 2006. ,
DOI : 10.1186/1471-2105-7-3
AUC-RF: A New Strategy for Genomic Profiling with Random Forest, Human Heredity, vol.72, issue.2, pp.121-153, 2011. ,
DOI : 10.1159/000330778
Feature selection in omics prediction problems using cat scores and false nondiscovery rate control, The Annals of Applied Statistics, vol.4, issue.1, pp.503-522, 2010. ,
DOI : 10.1214/09-AOAS277
Differential protein expression and peak selection in mass spectrometry data by binary discriminant analysis, Bioinformatics, vol.31, issue.19, pp.3156-62, 2015. ,
DOI : 10.1093/bioinformatics/btv334
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-97, 1995. ,
DOI : 10.1007/BF00994018
AHP based Classification Algorithm Selection for Clinical Decision Support System Development, Procedia Computer Science, vol.36, pp.328-362, 2014. ,
DOI : 10.1016/j.procs.2014.09.101
URL : http://doi.org/10.1016/j.procs.2014.09.101
Biomarkers discovery through multivariate statistical methods: a review of recently developed methods and applications in proteomics, J Proteomics Bioinformatics, vol.31, 2015. ,
Analysis of complex, multidimensional datasets, Drug Discovery Today: Technologies, vol.3, issue.1, pp.13-22, 2006. ,
DOI : 10.1016/j.ddtec.2006.03.010
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011. ,
DOI : 10.1145/1961189.1961199
Working set selection using second order information for training support vector machines, J Mach Learn Res, vol.6, pp.1889-918, 2005. ,
A study of cross-validation and bootstrap for accuracy estimation and model selection, Proceedings of the 14 th International Joint Conference (IJCAI-95), pp.1137-1182, 1995. ,
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.3, pp.569-75, 2010. ,
DOI : 10.1109/TPAMI.2009.187
Combining SVMs with Various Feature Selection Strategies, pp.315-339, 2006. ,
DOI : 10.1007/978-3-540-35488-8_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.3644
Collagens in the progression and complications of atherosclerosis, Vascular Medicine, vol.86, issue.1, pp.73-89, 2009. ,
DOI : 10.1177/1358863X08094801
Extracellular matrix synthesis in vascular disease: hypertension, and atherosclerosis, Journal of biomedical Research, vol.28, issue.1, pp.25-39, 2014. ,
DOI : 10.7555/JBR.27.20130064
Collagen and related extracellular matrix proteins in atherosclerotic plaque development, Current Opinion in Lipidology, vol.25, issue.5, pp.394-403, 2014. ,
DOI : 10.1097/MOL.0000000000000112
Vascular Extracellular Matrix in Atherosclerosis, Cardiology in Review, vol.21, issue.6, pp.270-88, 2013. ,
DOI : 10.1097/CRD.0b013e31828c5ced
Vascular fibrosis in atherosclerosis, Cardiovascular Pathology, vol.22, issue.5, pp.401-408, 2013. ,
DOI : 10.1016/j.carpath.2013.01.003
Characteristics of Aortic Wall Extracellular Matrix in Patients with Acute Myocardial Infarction: Tissue Microarray Detection of Collagen I, Collagen III and Elastin Levels, Heart, Lung and Circulation, vol.21, issue.1, pp.11-16, 2013. ,
DOI : 10.1016/j.hlc.2012.05.085