Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem
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Pierre Grangeat | Audrey Giremus | Jean-François Giovannelli | Jean-Philippe Charrier | Laurent Gerfault | Bruno Lacroix | Pascal Szacherski | Pierre Mahé | J. Giovannelli | P. Grangeat | L. Gerfault | A. Giremus | P. Mahé | J. Charrier | Bruno Lacroix | Pascal Szacherski
[1] Christian Jutten,et al. Multiclass Brain–Computer Interface Classification by Riemannian Geometry , 2012, IEEE Transactions on Biomedical Engineering.
[2] Jianqiu Zhang,et al. MRCQuant- an accurate LC-MS relative isotopic quantification algorithm on TOF instruments , 2011, BMC Bioinformatics.
[3] Tianwei Yu,et al. Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection , 2010, BMC Bioinformatics.
[4] Grégory Strubel. Reconstruction de profils moléculaires : modélisation et inversion d'une chaîne de mesure protéomique , 2008 .
[5] W von der Linden,et al. Analysis of multicomponent mass spectra applying Bayesian probability theory. , 2001, Journal of mass spectrometry : JMS.
[6] Z. Pápai,et al. Analysis of peak asymmetry in chromatography. , 2002, Journal of chromatography. A.
[7] William Stafford Noble,et al. Computational and Statistical Analysis of Protein Mass Spectrometry Data , 2012, PLoS Comput. Biol..
[8] Pierre Grangeat,et al. A hierarchical SRM acquisition chain model for improved protein quantification in serum samples , 2012, RECOMB 2012.
[9] P. Müller,et al. Bayesian inference for gene expression and proteomics , 2006 .
[10] Pierre Jallon,et al. A graph based algorithm for postures estimation based on accelerometers data , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[11] N. Anderson,et al. The Human Plasma Proteome , 2002, Molecular & Cellular Proteomics.
[12] Michael Elad,et al. Generalizing the Nonlocal-Means to Super-Resolution Reconstruction , 2009, IEEE Transactions on Image Processing.
[13] R. Aebersold,et al. Selected reaction monitoring for quantitative proteomics: a tutorial , 2008, Molecular systems biology.
[14] Hyrum S. Anderson,et al. Robust classification of signal estimates given a channel model , 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).
[15] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[16] V B Di Marco,et al. Mathematical functions for the representation of chromatographic peaks. , 2001, Journal of chromatography. A.
[17] Navdeep Jaitly,et al. VIPER: an advanced software package to support high-throughput LC-MS peptide identification , 2007, Bioinform..
[18] Eugene A. Kapp,et al. 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 , 2005, Proteomics.
[19] R. Aebersold,et al. Mass spectrometry-based proteomics , 2003, Nature.
[20] Jérôme Idier,et al. Bayesian Approach to Inverse Problems: Idier/Bayesian , 2010 .
[21] Ali Mohammad-Djafari,et al. Quantification moléculaire par spectrométrie de masse à base de NEMS : modélisation et inversion du problème. , 2011 .
[22] Pascal Szacherski,et al. Joint Bayesian hierarchical inversion-classification and application in proteomics , 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).
[23] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[24] Kelvin H Lee,et al. Kinetic characterization of sequencing grade modified trypsin , 2005, Proteomics.
[25] Laurent Gerfault,et al. Apprentissage supervisé robuste de caractéristiques de classes. Application en protéomique , 2011 .
[26] Matej Oresic,et al. MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data , 2006, Bioinform..
[27] Pascal Szacherski,et al. Reconstruction de profils protéiques pour la recherche de biomarqueurs. (Reconstruction of proteomic profiles for biomarker discovery) , 2012 .
[28] Robert L. Moritz,et al. An assessment of current bioinformatic solutions for analyzing LC‐MS data acquired by selected reaction monitoring technology , 2012, Proteomics.
[29] Christian P. Robert,et al. The Bayesian choice : from decision-theoretic foundations to computational implementation , 2007 .
[30] Manfred Rauh,et al. LC-MS/MS for protein and peptide quantification in clinical chemistry. , 2012, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[31] J. Garin,et al. Isotope dilution strategies for absolute quantitative proteomics. , 2009, Journal of proteomics.
[32] Pierre Grangeat,et al. MRM protein quantification and serum sample classification , 2013 .
[33] Ilya Kuselman,et al. Investigating out-of-specification test results of chemical composition based on metrological concepts , 2010 .
[34] F. Orieux,et al. Super-resolution in map-making based on a physical instrument model and regularized inversion. Application to SPIRE/Herschel. , 2011, 1103.3698.
[35] Jeffrey S. Morris,et al. Bayesian Mixture Models for Gene Expression and Protein Profiles , 2006 .
[36] J.-F. Giovannelli,et al. Bayesian estimation for molecular profile reconstruction in proteomics based on liquid chromatography and mass spectrometry , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[37] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[38] Noura Dridi,et al. Variable selection for a mixed population applied in proteomics , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[39] Magnus Palmblad,et al. Mass spectrometry in clinical proteomics – from the present to the future , 2008, Proteomics. Clinical applications.
[40] Ruedi Aebersold,et al. 7th HUPO World Congress of Proteomics: Launching the Second Phase of the HUPO Plasma Proteome Project (PPP‐2) 16–20 August 2008, Amsterdam, The Netherlands , 2009, Proteomics.
[41] Ralph Schiess,et al. Proteomic strategy for biomarker discovery , 2008 .
[42] Da Ruan,et al. Fuzzy Logic: A Spectrum of Theoretical & Practical Issues , 2007 .
[43] Radford M. Neal,et al. Difference detection in LC-MS data for protein biomarker discovery , 2007, Bioinform..