Analysis of the Human Adult Urinary Metabolome Variations with Age, Body Mass Index, and Gender by Implementing a Comprehensive Workflow for Univariate and OPLS Statistical Analyses.
暂无分享,去创建一个
E. Thévenot | C. Junot | Ying Xu | E. Ezan | Aurélie Roux | Aurélie Roux
[1] C. Junot,et al. Metabolomics reveals differential metabolic adjustments of normal and overweight subjects during overfeeding , 2015, Metabolomics.
[2] D. Watson,et al. A short review of applications of liquid chromatography mass spectrometry based metabolomics techniques to the analysis of human urine. , 2015, The Analyst.
[3] E. Thévenot,et al. Impact of collection conditions on the metabolite content of human urine samples as analyzed by liquid chromatography coupled to mass spectrometry and nuclear magnetic resonance spectroscopy , 2014, Metabolomics.
[4] Daniel Jacob,et al. Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics , 2014, Bioinform..
[5] Augustin Scalbert,et al. Normalization to specific gravity prior to analysis improves information recovery from high resolution mass spectrometry metabolomic profiles of human urine. , 2014, Analytical chemistry.
[6] B. Le Bizec,et al. Evaluation of specific gravity as normalization strategy for cattle urinary metabolome analysis , 2014, Metabolomics.
[7] Kosuke Saito,et al. Differences in metabolite profiles between blood matrices, ages, and sexes among Caucasian individuals and their inter-individual variations , 2014, Metabolomics.
[8] R. Sinha,et al. Human metabolic correlates of body mass index , 2014, Metabolomics.
[9] Zerihun T. Dame,et al. The Human Urine Metabolome , 2013, PloS one.
[10] Yongmei Song,et al. Combination of injection volume calibration by creatinine and MS signals' normalization to overcome urine variability in LC-MS-based metabolomics studies. , 2013, Analytical chemistry.
[11] Dimitrios Spiliotopoulos,et al. muma, An R Package for Metabolomics Univariate and Multivariate Statistical Analysis , 2013 .
[12] Liang Li,et al. Determination of total concentration of chemically labeled metabolites as a means of metabolome sample normalization and sample loading optimization in mass spectrometry-based metabolomics. , 2012, Analytical chemistry.
[13] C. Gieger,et al. Human serum metabolic profiles are age dependent , 2012, Aging cell.
[14] Liang Li,et al. Development of an isotope labeling ultra-high performance liquid chromatography mass spectrometric method for quantification of acylglycines in human urine. , 2012, Analytica chimica acta.
[15] Jordi Duran,et al. A Guideline to Univariate Statistical Analysis for LC/MS-Based Untargeted Metabolomics-Derived Data , 2012, Metabolites.
[16] Ralf Tautenhahn,et al. An accelerated workflow for untargeted metabolomics using the METLIN database , 2012, Nature Biotechnology.
[17] Tahir Mehmood,et al. A review of variable selection methods in Partial Least Squares Regression , 2012 .
[18] Ron Wehrens,et al. Thresholding for biomarker selection in multivariate data using Higher Criticism. , 2012, Molecular bioSystems.
[19] Christophe Junot,et al. Annotation of the human adult urinary metabolome and metabolite identification using ultra high performance liquid chromatography coupled to a linear quadrupole ion trap-Orbitrap mass spectrometer. , 2012, Analytical chemistry.
[20] Johan Trygg,et al. Advantages of orthogonal inspection in chemometrics , 2012 .
[21] Hui Sun,et al. Urine Metabolomics Analysis for Biomarker Discovery and Detection of Jaundice Syndrome in Patients With Liver Disease* , 2012, Molecular & Cellular Proteomics.
[22] Alexander Amberg,et al. Intra- and interlaboratory reproducibility of ultra performance liquid chromatography-time-of-flight mass spectrometry for urinary metabolic profiling. , 2012, Analytical chemistry.
[23] M. Zheng,et al. Distinct urinary metabolic profile of human colorectal cancer. , 2012, Journal of proteome research.
[24] M. Barrett,et al. Evaluation of coupling reversed phase, aqueous normal phase, and hydrophilic interaction liquid chromatography with Orbitrap mass spectrometry for metabolomic studies of human urine. , 2012, Analytical chemistry.
[25] Susumu Goto,et al. KEGG for integration and interpretation of large-scale molecular data sets , 2011, Nucleic Acids Res..
[26] J. Nicholson,et al. Global urinary metabolic profiling procedures using gas chromatography–mass spectrometry , 2011, Nature Protocols.
[27] Fabian J Theis,et al. Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers , 2011, PLoS genetics.
[28] Xiaomei Yan,et al. Bladder Cancer Determination Via Two Urinary Metabolites: A Biomarker Pattern Approach* , 2011, Molecular & Cellular Proteomics.
[29] Age K. Smilde,et al. Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies , 2011, Metabolomics.
[30] T. Ebbels,et al. Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery. , 2011, Analytical chemistry.
[31] Joshua D. Knowles,et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry , 2011, Nature Protocols.
[32] R. Weiss,et al. Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer. , 2011, Omics : a journal of integrative biology.
[33] Ping Liu,et al. Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma* , 2011, Molecular & Cellular Proteomics.
[34] A. Astrup,et al. Standardization of factors that influence human urine metabolomics , 2011, Metabolomics.
[35] T. Hankemeier,et al. Discovery of early-stage biomarkers for diabetic kidney disease using ms-based metabolomics (FinnDiane study) , 2011, Metabolomics.
[36] P. Prenzler,et al. Recent and potential developments in the analysis of urine: a review. , 2011, Analytica chimica acta.
[37] E. Want,et al. Global metabolic profiling procedures for urine using UPLC–MS , 2010, Nature Protocols.
[38] Frans M van der Kloet,et al. Analytical error reduction using single point calibration for accurate and precise metabolomic phenotyping. , 2009, Journal of proteome research.
[39] B. Warrack,et al. Normalization strategies for metabonomic analysis of urine samples. , 2009, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[40] Paul C Ho,et al. Development and validation of a gas chromatography/mass spectrometry metabonomic platform for the global profiling of urinary metabolites. , 2008, Rapid communications in mass spectrometry : RCM.
[41] I. Wilson,et al. Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine: sample stability under different handling and storage conditions for metabonomics studies. , 2008, Journal of chromatography. A.
[42] M. Milburn,et al. Analysis of the adult human plasma metabolome. , 2008, Pharmacogenomics.
[43] Irena Spasic,et al. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. , 2008, International journal of epidemiology.
[44] P. Elliott,et al. High-throughput 1H NMR-based metabolic analysis of human serum and urine for large-scale epidemiological studies: validation study. , 2008, International journal of epidemiology.
[45] M. Rantalainen,et al. K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space , 2008, BMC Bioinformatics.
[46] F. Dekker,et al. Confounding: what it is and how to deal with it. , 2008, Kidney international.
[47] T. Ebbels,et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts , 2007, Nature Protocols.
[48] Nigel W. Hardy,et al. Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.
[49] Russ Greiner,et al. Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles. , 2007, Analytical chemistry.
[50] I. Wilson,et al. Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine. , 2007, Journal of proteome research.
[51] J. A. Armstrong. Urinalysis in Western culture: a brief history. , 2007, Kidney international.
[52] Johan Trygg,et al. Chemometrics in metabonomics. , 2007, Journal of proteome research.
[53] Douglas B. Kell,et al. Statistical strategies for avoiding false discoveries in metabolomics and related experiments , 2007, Metabolomics.
[54] U. Braga-Neto,et al. Fads and fallacies in the name of small-sample microarray classification - A highlight of misunderstanding and erroneous usage in the applications of genomic signal processing , 2007, IEEE Signal Processing Magazine.
[55] I. Wilson,et al. A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis. , 2006, The Analyst.
[56] R. Abagyan,et al. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. , 2006, Analytical chemistry.
[57] J. Lindon,et al. NMR‐based metabonomic approaches for evaluating physiological influences on biofluid composition , 2005, NMR in biomedicine.
[58] Mia Hubert,et al. ROBPCA: A New Approach to Robust Principal Component Analysis , 2005, Technometrics.
[59] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[60] B. Comte,et al. Determination of urinary 13C-caffeine metabolites by liquid chromatography-mass spectrometry: the use of metabolic ratios to assess CYP1A2 activity. , 2004, Journal of pharmaceutical and biomedical analysis.
[61] P. Shannon,et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.
[62] S. Wold,et al. Orthogonal projections to latent structures (O‐PLS) , 2002 .
[63] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[64] John C. Young,et al. A Practical Approach for Interpreting Multivariate T2 Control Chart Signals , 1997 .
[65] B. Fernández-Fernández,et al. Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease. , 2014, Kidney international.
[66] A. Smilde,et al. Reflections on univariate and multivariate analysis of metabolomics data , 2013, Metabolomics.
[67] X. Correig,et al. Bioinformatics Applications Note Systems Biology Astream: an R Package for Annotating Lc/ms Metabolomic Data , 2022 .