Improved batch correction in untargeted MS-based metabolomics
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Ron Wehrens | Fred van Eeuwijk | Roland Mumm | Jos A Hageman | Rik Kooke | Pádraic J Flood | Erik Wijnker | Joost J B Keurentjes | Arjen Lommen | Henriëtte D L M van Eekelen | Robert D Hall | Ric C H de Vos | Joost J. B. Keurentjes | R. Wehrens | J. Hageman | R. Hall | R. D. de Vos | P. J. Flood | R. Mumm | E. Wijnker | A. Lommen | R. Kooke | Henriëtte van Eekelen | Fred van Eeuwijk | H. V. van Eekelen
[1] P. J. Flood,et al. Natural genetic variation in Arabidopsis thaliana photosynthesis , 2015 .
[2] Achim Zeileis,et al. Applied Econometrics with R , 2008 .
[3] S. Dudoit,et al. Normalization of RNA-seq data using factor analysis of control genes or samples , 2014, Nature Biotechnology.
[4] Andrey Ziyatdinov,et al. Intensity drift removal in LC/MS metabolomics by common variance compensation , 2014, Bioinform..
[5] T. Ebbels,et al. Optimizing the use of quality control samples for signal drift correction in large-scale urine metabolic profiling studies. , 2012, Analytical chemistry.
[6] Maria Yazdanbakhsh,et al. Evaluation of regression methods when immunological measurements are constrained by detection limits , 2008, BMC Immunology.
[7] Charmion Cruickshank-Quinn,et al. MSPrep - Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data , 2014, Bioinform..
[8] A. Auton,et al. Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel , 2011, Nature Genetics.
[9] T. Ebbels,et al. Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery. , 2011, Analytical chemistry.
[10] Roland Mumm,et al. Gomphrena claussenii, a novel metal-hypertolerant bioindicator species, sequesters cadmium, but not zinc, in vacuolar oxalate crystals. , 2015, The New phytologist.
[11] Y. M. Tikunov,et al. MSClust: a tool for unsupervised mass spectra extraction of chromatography-mass spectrometry ion-wise aligned data , 2011, Metabolomics.
[12] Arjen Lommen,et al. MetAlign: interface-driven, versatile metabolomics tool for hyphenated full-scan mass spectrometry data preprocessing. , 2009, Analytical chemistry.
[13] Joy Bergelson,et al. Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana , 2010, Proceedings of the National Academy of Sciences.
[14] David E. Booth,et al. Analysis of Incomplete Multivariate Data , 2000, Technometrics.
[15] Doris M Jacobs,et al. Rapid and sustained systemic circulation of conjugated gut microbial catabolites after single-dose black tea extract consumption. , 2014, Journal of proteome research.
[16] Peter J. Huber,et al. Robust Statistics , 2005, Wiley Series in Probability and Statistics.
[17] Roland Mumm,et al. Diversity and functions of volatile organic compounds produced by Streptomyces from a disease-suppressive soil , 2015, Front. Microbiol..
[18] 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.
[19] David S. Wishart,et al. MetaboAnalyst 3.0—making metabolomics more meaningful , 2015, Nucleic Acids Res..
[20] Ron Wehrens,et al. Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences , 2011 .
[21] Ivo Grosse,et al. Experiment design beyond gut feeling: statistical tests and power to detect differential metabolites in mass spectrometry data , 2014, Metabolomics.
[22] Oscar Yanes,et al. Metabolomics: the apogee of the omics trilogy , 2012 .
[23] J. Keurentjes,et al. Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry , 2007, Nature Protocols.
[24] Johann A. Gagnon-Bartsch,et al. Using control genes to correct for unwanted variation in microarray data. , 2012, Biostatistics.
[25] Age K. Smilde,et al. Data-processing strategies for metabolomics studies , 2011 .
[26] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[27] B. Ripley,et al. Robust Statistics , 2018, Wiley Series in Probability and Statistics.
[28] Ralf J. M. Weber,et al. Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics , 2012, Metabolomics.
[29] Marian Groenenboom,et al. Metabolomics reveals organ-specific metabolic rearrangements during early tomato seedling development , 2014, Metabolomics.
[30] J A Kirwan,et al. Characterising and correcting batch variation in an automated direct infusion mass spectrometry (DIMS) metabolomics workflow , 2013, Analytical and Bioanalytical Chemistry.
[31] Matthias Scholz,et al. MetaDB a Data Processing Workflow in Untargeted MS-Based Metabolomics Experiments , 2014, Front. Bioeng. Biotechnol..
[32] Johann A. Gagnon-Bartsch,et al. Statistical methods for handling unwanted variation in metabolomics data. , 2015, Analytical chemistry.
[33] R. D. Hall,et al. Multi-platform metabolomics analyses of a broad collection of fragrant and non-fragrant rice varieties reveals the high complexity of grain quality characteristics , 2016, Metabolomics.
[34] W. Greene,et al. 计量经济分析 = Econometric analysis , 2009 .
[35] Robert D Hall,et al. Solid phase micro-extraction GC-MS analysis of natural volatile components in melon and rice. , 2012, Methods in molecular biology.
[36] G. Siuzdak,et al. Innovation: Metabolomics: the apogee of the omics trilogy , 2012, Nature Reviews Molecular Cell Biology.
[37] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[38] R. Wehrens. Chemometrics with R , 2020, Use R!.
[39] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[40] J. Edward Jackson,et al. A User's Guide to Principal Components: Jackson/User's Guide to Principal Components , 2004 .
[41] J. Tobin. Estimation of Relationships for Limited Dependent Variables , 1958 .
[42] J. Meulman,et al. Equating, or correction for between-block effects with application to body fluid LC-MS and NMR metabolomics data sets. , 2010, Analytical chemistry.
[43] T. Hankemeier,et al. Comprehensive metabolomics to evaluate the impact of industrial processing on the phytochemical composition of vegetable purees. , 2015, Food chemistry.