né le 21 juillet 1930 à Toronto, Ontaria, Canada, mathématicien canadien . Généralisa les travaux de Metropolis et collaborateurs sur l'algorithme d ,
Botaniste russe et inventeur de la chromatographie d'adsorption. L'origine du nom « chromatographie » est probablement due au nom de l'inventeur, le mot grec qrwma (khrôma), 1919. ,
né le 08 août 1902 à Bristol, Angleterre, mort le 20 octobre 1984 à Tallahassee , Floride, États-Unis d'Amérique. Physicien théorique britannique, prix Nobel de physique en 1933 (avec E. Schrödinger) ,
Écosse, mort le 14 juillet 1956 à Acapulco, Méxique. Statisticien écossais et mathématicien, assistant de Pearson et Fisher, proposa en 1928 la distribution qui porte aujourd ,
Liste des figures 1.1 Même génome, mais protéome différent ,
Reconstruction de profils moléculaires : modélisation et inversion d'une chaîne de mesure protéomique, » thèse de doctorat, 2008. ,
The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation, 2 ème édition, 2007. ,
DOI : 10.1007/978-1-4757-4314-2
Bayesian Data Analysis, 2 ème édition , dans la série Texts in Statistical Science, 2003. ,
« Final Project Review, technology integration, » LOCCANDIA, mars 2010, CEA internal chrono number DTBS, pp.10-35 ,
« Quantification moléculaire par spectrométrie de masse à base de NEMS : modélisation et inversion du problème, 2011. ,
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction, IEEE Transactions on Image Processing, vol.18, issue.1, pp.36-51, 2009. ,
DOI : 10.1109/TIP.2008.2008067
Bayesian Approach to Inverse Problems, 2008. ,
DOI : 10.1002/9780470611197
URL : https://hal.archives-ouvertes.fr/hal-00400668
éditeur, Tomography, 1 ère édition, 2009. ,
Bayesian Inference for Gene Expression and Proteomics, 2006. ,
DOI : 10.1017/CBO9780511584589
Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry, Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry, pp.5883-5894, 2010. ,
DOI : 10.1109/TSP.2010.2065226
Bayesian biomarker identification based on marker-expression proteomics data, Genomics, vol.92, issue.6, pp.384-392, 2008. ,
DOI : 10.1016/j.ygeno.2008.06.006
« Bayesian estimation for molecular profile reconstruction in proteomics based on liquid chromatography and mass spectrometry, » dans, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5979-5982, 2007. ,
Theory of Probability, 3 ème édition, 1961. ,
Bayesian computation with R, 2009. ,
Monte Carlo Statistical Methods, 2 ème édition, 2004. ,
Theory of Statistics, 2 ème édition, 1996. ,
« An Introduction to Using WinBUGS for Cost-Effectiveness Analyses in Health Economics (Part 1 : Bayesian Statistics : An Introduction), » Centre for Health Economics, 2007. ,
« An essay towards solving a Problem in the Doctrine of Chances, » 1763 ,
« Mémoire sur la probabilité des causes par les événements, » dans OEuvres complètes de Laplace, Académie des Sciences, vol.Tome VIII, pp.27-65, 1774. ,
Interpretation And Problems With Construction And Applications, » Preprint Statistics, vol.3, 1998. ,
The Selection of Prior Distributions by Formal Rules, Journal of the American Statistical Association, vol.36, issue.435, pp.1343-1370, 1996. ,
DOI : 10.1080/01621459.1996.10477003
Essai philosophique sur les probabilités, Bachelier, 1840. ,
An Invariant Form for the Prior Probability in Estimation Problems, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.186, issue.1007, pp.453-461, 1946. ,
DOI : 10.1098/rspa.1946.0056
Invariant Prior Distributions, The Annals of Mathematical Statistics, vol.35, issue.2, pp.836-845, 1964. ,
DOI : 10.1214/aoms/1177703583
Invariance of posterior distributions under reparametrization, Sankhya A, vol.91, issue.1, pp.101-118, 2010. ,
DOI : 10.1007/s13171-010-0001-x
Statistical Decision Theory and Bayesian Analysis, 1985. ,
DOI : 10.1007/978-1-4757-4286-2
Inference about Variance Components in the One-Way Model, Journal of the American Statistical Association, vol.2, issue.311, pp.806-825, 1965. ,
DOI : 10.1017/S0021859600019663
Theory of Point Estimation, 1998. ,
Statistical Thinking : Introduction to Probabilistic Data Analysis. en cours de rédaction, 2010. ,
Data Clustering : Theory, Algorithms, and Applications, Society for Industrial Mathematics, 2007. ,
DOI : 10.1137/1.9780898718348
« Non-uniform random variate generation, » dans Simulation, dans la série Handbooks in Operations Research and Management Science, pp.83-121, 2006. ,
Equation of State Calculations by Fast Computing Machines, Equation of state calculations by fast computing machines, pp.1087-1092, 1953. ,
DOI : 10.1063/1.1699114
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970. ,
DOI : 10.1093/biomet/57.1.97
Berthoumieu, « Langevin and Hessian with Fisher approximation : Stochastic sampling for parameter estimation of structured covariance, » dans ICASSP, 2011. ,
The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models, Journal of the American Statistical Association, vol.86, issue.436, pp.1461-1473, 1996. ,
DOI : 10.1080/01621459.1996.10476714
The Variational Bayes Method in Signal Processing, 2005. ,
« A gradient-like variational Bayesian algorithm, » dans, IEEE Workshop on Statistical Signal Processing. IEEE, pp.605-608, 2011. ,
« Variational algorithms for approximate Bayesian inference, 2003. ,
« A variational Bayesian algorithm for inverse problem of computed tomography, » dans Mathematical Methods in Biomedical Imaging and Intensity-Modulated Radiation Therapy, pp.231-252, 2008. ,
Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database, Overview of the HUPO Plasma Proteome Project : results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, pp.3226-3245, 2005. ,
DOI : 10.1002/pmic.200500358
Alzheimer's Disease and the Amyloid-?? Peptide, Journal of Alzheimer's Disease, vol.19, issue.1, p.311, 2010. ,
DOI : 10.3233/JAD-2010-1221
Compte rendu d'activité final du projet CAPSI, » Laboratoire d'Etude de la dynamique des protéomes, 2009. ,
Isotope dilution strategies for absolute quantitative proteomics, Journal of Proteomics, vol.72, issue.5, pp.740-749, 2009. ,
DOI : 10.1016/j.jprot.2009.03.007
Kinetic characterization of sequencing grade modified trypsin, PROTEOMICS, vol.68, issue.9, pp.2319-2321, 2005. ,
DOI : 10.1002/pmic.200401268
Séminaire de spécification du projet BHI- PRO, janvier 2011, Protein Identification and Analysis Tools on the ExPASy Server, » dans The Proteomics Protocols Handbook, J. M. Walker, pp.571-607, 2005. ,
Data Analysis and Signal Processing in Chromatography, 1998. ,
Fundamentals of Preparative and Nonlinear Chromatography, 2 ème édition, 2006. ,
Analysis of peak asymmetry in chromatography, Journal of Chromatography A, vol.953, issue.1-2, pp.31-38, 2002. ,
DOI : 10.1016/S0021-9673(02)00121-8
Aebersold, « Selected reaction monitoring for quantitative proteomics : a tutorial, Molecular Systems Biology, vol.4, p.222, 2008. ,
Selected reaction monitoring applied to proteomics, Journal of Mass Spectrometry, vol.8, issue.Suppl 7, pp.298-312, 2011. ,
DOI : 10.1002/jms.1895
« First demonstration on NSE biomarker of a computational environment dedicated to lab-on-chip based cancer diagnosis, dans Proceedings of the 58th ASMS International Conference, 2010. ,
Measurement Error in Nonlinear Models : A Modern Perspective, 2006. ,
DOI : 10.1201/9781420010138
Significance Analysis of Spectral Count Data in Label-free Shotgun Proteomics, Molecular & Cellular Proteomics, vol.7, issue.12, pp.2373-2385, 2008. ,
DOI : 10.1074/mcp.M800203-MCP200
Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomics, Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomics, pp.1487-1502, 2005. ,
DOI : 10.1074/mcp.M500084-MCP200
Label-Free Protein Quantification Using LC-Coupled Ion Trap or FT Mass Spectrometry:?? Reproducibility, Linearity, and Application with Complex Proteomes, Journal of Proteome Research, vol.5, issue.5, pp.1214-1223, 2011. ,
DOI : 10.1021/pr050406g
Mass Spectrometry-Based Label-Free Quantitative Proteomics, Journal of Biomedicine and Biotechnology, vol.14, issue.1, 2010. ,
DOI : 10.1021/pr700705u
Multiclass Brain–Computer Interface Classification by Riemannian Geometry, Multiclass Brain Computer Interface Classification by Riemannian Geometry, pp.920-928, 2012. ,
DOI : 10.1109/TBME.2011.2172210
« Bayesian Mixture Models for Gene Expression and Protein Profiles, » dans Bayesian inference for gene expression and proteomics, pp.238-253, 2006. ,
« Robust classification of signal estimates given a channel model, » dans, Workshop IEEE on Statistical Signal Processing, 2011. ,
Investigating out-of-specification test results of chemical composition based on metrological concepts, Accreditation and Quality Assurance, vol.9, issue.6, pp.283-288, 2009. ,
DOI : 10.1007/s00769-009-0618-4
The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition, 2 ème édition, 2009. ,
« Classification, apprentissage et sélection de modèles pour un mélange de populations appliqués en protéomique, IMS, 2012. ,
Clustering using sum-of-norms regularization: With application to particle filter output computation, 2011 IEEE Statistical Signal Processing Workshop (SSP), pp.201-204, 2011. ,
DOI : 10.1109/SSP.2011.5967659
Fuzzy Logic : A Spectrum of Theoretical & Practical Issues, 2007. ,
Accounting for control mislabelling in case-control biomarker studies, Journal of Proteome Research, pp.5562-5567, 2011. ,
« A metric for covariance matrices, » Qua vadis geodesia, pp.113-128, 1999. ,
Classification : autres racontars bayésiens, 2012. ,
Bayesian Core : A Practical Approach to Computational Bayesian Statistics, dans la série Springer Texts in Statistics, 2007. ,
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, pp.711-732, 1995. ,
DOI : 10.1093/biomet/82.4.711
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection, BMC Bioinformatics, vol.11, issue.1, p.559, 2010. ,
DOI : 10.1186/1471-2105-11-559
Characterization of exponentially modified Gaussian peaks in chromatography, Analytical Chemistry, vol.44, issue.11, pp.1733-1738, 1972. ,
DOI : 10.1021/ac60319a011
Exponentially Modified Gaussian functions???A good model for chromatographic peaks in isocratic HPLC?, Chromatographia, vol.57, issue.1, pp.285-296, 1988. ,
DOI : 10.1007/BF02268168
Difference detection in LC-MS data for protein biomarker discovery, Bioinformatics, vol.23, issue.2, pp.198-204, 2007. ,
DOI : 10.1093/bioinformatics/btl326
A review of Bayesian variable selection methods: what, how and which, Bayesian Analysis, vol.4, issue.1, pp.85-118, 2009. ,
DOI : 10.1214/09-BA403SUPP
« Sélection de variables appliquée à l'analyse protéomique par spectrométrie de masse en mode SRM, » CEA Leti, 2012. ,
« On some computational methods for Bayesian model choice, » Rennes, 2008. ,
Earliest known uses of some of the words of mathematics, 2012. ,
Correlation coefficient, 2012. ,
Statistical toolbox (v8.0) ? {Matlab}, 2012. ,
Lightspeed matlab toolbox, 2011. ,
MSight, a new vision in mass spectrometry imaging (v3.0). 2012 ,
Parallel computing toolbox (v6.0) ? {Matlab}, 2012. ,
Multicore ? parallel processing on multiple cores, 2011. ,
« Reconstruction of proteomic profiles . Supervised learning of class characteristics ,
Bayesian hierarchical inversion-classification and application in proteomics, IEEE Workshop on Statistical Signal Processing. IEEE, pp.121-124, 2011. ,
« Robust MS serum sample classification in proteomics by the use of inverse problems, » dans, IEEE International Workshop on Genomic Signal Processing and Statistics, 2012. ,
« A hierarchical SRM acquisition chain model for improved protein quantification in serum samples, 2012. ,
« Bayesian hierarchical reconstruction of protein profiles including a digestion model, dans Proceedings of the 59th ASMS International Conference, 2011. ,
Inversion-Classification ? Apport des problèmes inverses à la classification. Application en Protéomique, 2012. ,
Classification of proteomic serum samples seen as hierarchical Bayesian inverse problem, » to be submitted, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012. ,