Analytical Methods in Untargeted Metabolomics: State of the Art in 2015, Frontiers in Bioengineering and Biotechnology, vol.38, p.23, 2015. ,
DOI : 10.1016/j.jkss.2008.10.007
H NMR Metabolic Data Sets, Analytical Chemistry, vol.81, issue.6, pp.2075-2084, 2009. ,
DOI : 10.1021/ac801982h
A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures, Journal of the American Statistical Association, vol.10, issue.3, pp.1259-1271, 2012. ,
DOI : 10.1093/nar/gkn810
Metabolomics: Biochemistry's new look, Nature, vol.449, issue.7213, pp.697-700, 2008. ,
DOI : 10.1016/j.jchromb.2008.05.001
Metabolomic study of fatty livers in ducks: Identification by 1H-NMR of metabolic markers associated with technological quality, Poultry Science, vol.93, issue.6, pp.93-1542, 2014. ,
DOI : 10.3382/ps.2013-03546
URL : https://hal.archives-ouvertes.fr/hal-01517022
Statistics for High-Dimensional Data: Methods, Theory and Applications, 2011. ,
DOI : 10.1007/978-3-642-20192-9
NMR-Based Characterization of Metabolic Alterations in Hypertension Using an Adaptive, Intelligent Binning Algorithm, Analytical Chemistry, vol.80, issue.10, pp.3783-3790, 2008. ,
DOI : 10.1021/ac7025964
Create, run, share, publish, and reference your LC???MS, FIA???MS, GC???MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics, The International Journal of Biochemistry & Cell Biology, 2017. ,
DOI : 10.1016/j.biocel.2017.07.002
URL : https://hal.archives-ouvertes.fr/hal-01574351
BATMAN--an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model, Bioinformatics, vol.28, issue.15, pp.28-2088, 2012. ,
DOI : 10.1093/bioinformatics/bts308
Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN, Nature Protocols, vol.9, issue.6, pp.1416-1427, 2014. ,
DOI : 10.1021/es802198z
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, 2009. ,
Systems biology: Metabonomics, Nature, vol.453, issue.7216, pp.455-1054, 2008. ,
DOI : 10.1038/4551054a
Targeted projection NMR spectroscopy for unambiguous metabolic profiling of complex mixtures, Magnetic Resonance in Chemistry, vol.42, issue.9, pp.727-733, 2010. ,
DOI : 10.1002/mrc.2519
Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics, PLOS ONE, vol.81, issue.8, p.124219, 2015. ,
DOI : 10.1371/journal.pone.0124219.s004
URL : http://doi.org/10.1371/journal.pone.0124219
A powerful mutiple testing procedure in linear Gaussian model, 2017. ,
Identification by Proteomic Analysis of Early Post-mortem Markers Involved in the Variability in Fat Loss during Cooking of Mule Duck ???Foie Gras???, Journal of Agricultural and Food Chemistry, vol.59, issue.23, pp.12617-12628, 2011. ,
DOI : 10.1021/jf203058x
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), vol.58, issue.1, pp.267-288, 1996. ,
DOI : 10.1111/j.1467-9868.2011.00771.x
Between-Person Comparison of Metabolite Fitting for NMR-Based Quantitative Metabolomics, Analytical Chemistry, vol.83, issue.22, pp.83-8683, 2011. ,
DOI : 10.1021/ac202123k
MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures, BMC Bioinformatics, vol.12, issue.1, 2011. ,
DOI : 10.1007/BF01386402
Distribution-Based Classification Method for Baseline Correction of Metabolomic 1D Proton Nuclear Magnetic Resonance Spectra, Analytical Chemistry, vol.85, issue.2, pp.1231-1239, 2013. ,
DOI : 10.1021/ac303233c
H NMR Metabolomics Data, Analytical Chemistry, vol.78, issue.13, pp.78-4430, 2006. ,
DOI : 10.1021/ac060209g