Mass spectrometry in clinical proteomics - from the present to the future, PROTEOMICS - CLINICAL APPLICATIONS, vol.4, issue.1 ,
DOI : 10.3748/wjg.v12.i17.2789
The Human Plasma Proteome: History, Character, and Diagnostic Prospects: Fig. 3., Molecular & Cellular Proteomics, vol.2, issue.1, pp.845-867845, 2002. ,
DOI : 10.1074/mcp.A300001-MCP200
Proteomic strategy for biomarker discovery, 2008. ,
Mass spectrometry-based proteomics, Nature, vol.1, issue.6928, pp.198-207, 2003. ,
DOI : 10.1016/S0960-9822(01)00632-7
Kinetic characterization of sequencing grade modified trypsin, PROTEOMICS, vol.68, issue.9, pp.2319-2321, 2005. ,
DOI : 10.1016/0005-2795(77)90082-4
Reconstruction de profils moléculaires: Modélisation et inversion d'une chaîne de mesure protéomique, 2008. ,
Computational and Statistical Analysis of Protein Mass Spectrometry Data, PLoS Computational Biology, vol.83, issue.1, p.1002296, 2012. ,
DOI : 10.1371/journal.pcbi.1002296.g001
MRCQuant- an accurate LC-MS relative isotopic quantification algorithm on TOF instruments, BMC Bioinformatics, vol.12, issue.1, p.74, 2011. ,
DOI : 10.1002/rcm.3237
MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data, Bioinformatics, vol.22, issue.5, pp.634-636, 2006. ,
DOI : 10.1093/bioinformatics/btk039
VIPER: an advanced software package to support high-throughput LC-MS peptide identification, Bioinformatics, vol.23, issue.15, pp.2021-2023, 2007. ,
DOI : 10.1093/bioinformatics/btm281
First demonstration on NSE biomarker of a computational environment dedicated to lab-on-chip based cancer diagnosis, Proc. 58th ASMS Int. Conf, 2010. ,
Bayesian estimation for molecular profile reconstruction in proteomics based on liquid chromatography and mass spectrometry, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5979-5982, 2007. ,
DOI : 10.1109/IEMBS.2007.4353710
Analysis of multicomponent mass spectra applying Bayesian probability theory, Journal of Mass Spectrometry, vol.10, issue.8, pp.866-874, 2001. ,
DOI : 10.1116/1.577955
An assessment of current bioinformatic solutions for analyzing LC-MS data acquired by selected reaction monitoring technology, PROTEOMICS, vol.10, issue.Chapter 13, pp.1176-1184, 2012. ,
DOI : 10.1038/nbt.1546
LC???MS/MS for protein and peptide quantification in clinical chemistry, Journal of Chromatography B, vol.883, issue.884, pp.883-884, 2012. ,
DOI : 10.1016/j.jchromb.2011.09.030
Selected reaction monitoring for quantitative proteomics: a tutorial, Molecular Systems Biology, vol.5, p.222, 2008. ,
DOI : 10.1038/nbt827
A hierarchical SRM acquisition chain model for improved protein quantification in serum samples, Proc. RECOMB-CP, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00676587
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, Proteomics, vol.5, issue.13, pp.3226-3245, 1985. ,
HUPO World Congress of Proteomics: Launching the Second Phase of the HUPO Plasma Proteome Project (PPP-2) 16-20 August 2008, Amsterdam, The Netherlands, PROTEOMICS, vol.35, issue.1, pp.4-6, 2008. ,
DOI : 10.1093/bioinformatics/btn501
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection, BMC Bioinformatics, vol.11, issue.1, pp.5591471-2105, 2010. ,
DOI : 10.1186/1471-2105-11-559
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
Difference detection in LC-MS data for protein biomarker discovery, Bioinformatics, vol.23, issue.2, pp.198-204, 2007. ,
DOI : 10.1093/bioinformatics/btl326
Mathematical functions for the representation of chromatographic peaks, J. Chromatogr. A, vol.931, pp.1-30, 2001. ,
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
Super-resolution in map-making based on a physical instrument model and regularized inversion. Application to SPIRE/Herschel, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00674514
Bayesian Approach to Inverse Problems, 2008. ,
DOI : 10.1002/9780470611197
URL : https://hal.archives-ouvertes.fr/hal-00400668
A graph based algorithm for postures estimation based on accelerometers data, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp.2778-2781, 2010. ,
DOI : 10.1109/IEMBS.2010.5626363
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
Joint Bayesian hierarchical inversion-classification and application in proteomics, 2011 IEEE Statistical Signal Processing Workshop (SSP), pp.121-124, 2011. ,
DOI : 10.1109/SSP.2011.5967636
URL : https://hal.archives-ouvertes.fr/hal-00585529
Quantification moléculaire par spectrométrie de masse à base de NEMS: Modélisation et inversion du problème, Proc. 23rd Colloq. GRETSI, 2011. ,
Multiclass Brain–Computer Interface Classification by Riemannian Geometry, IEEE Transactions on Biomedical Engineering, vol.59, issue.4, pp.920-928, 2012. ,
DOI : 10.1109/TBME.2011.2172210
Bayesian mixture models for gene expression and protein profiles,'' in Bayesian Inference for Gene Expression and Proteomics, pp.238-253, 2006. ,
Investigating out-of-specification test results of chemical composition based on metrological concepts, Accreditation and Quality Assurance, vol.9, issue.6 ,
DOI : 10.1007/s00769-009-0618-4
Robust classification of signal estimates given a channel model, 2011 IEEE Statistical Signal Processing Workshop (SSP), pp.273-276, 2011. ,
DOI : 10.1109/SSP.2011.5967679
Fuzzy Logic: A Spectrum of Theoretical & Practical Issues, 2007. ,
DOI : 10.1007/978-3-540-71258-9
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation, 2007. ,
DOI : 10.1007/978-1-4757-4314-2
Monte Carlo Statistical Methods, 2004. ,
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
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2009. ,
MRM protein quantification and serum sample classification, Proc. 61st ASMS Conf, pp.1-2, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00909875
Classification, apprentissage et sélection de modèles pour un mélange de populations appliqués en protéomique, IMS, 2012. ,
Convergence entre l'analyse biostatistique et les méthodes d'inversion hiérarchique bayésienne pour la recherche et la validation de biomarqueurs par spectrométrie de masse, Proc. 24th Colloq. GRETSI, 2013. ,
Statistical analysis of Bayesian hierarchical inversion for MRM protein quantification and QDA serum sample classification, Proc. 62nd ASMS Conf. Mass Spectrometry Allied Topics, 2014. ,
Assessing MRM protein quantification and serum sample classification performances of a Bayesian hierarchical Inversion method on a colorectal cancer cohort, Proc. EuPA Sci. Meeting, 2013. ,
Apprentissage supervisé robuste de caractéristiques de classes. Application en protéomique, Proc. 23rd Colloq. GRETSI, 2011. ,
Variable selection for a mixed population applied in proteomics, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1153-1157, 2013. ,
DOI : 10.1109/ICASSP.2013.6637831
URL : https://hal.archives-ouvertes.fr/hal-00879200
Reconstruction de profils protéiques pour la recherche de biomarqueurs, Dept. Comput. Sci., Univ. Bordeaux I, 2012. ,