Intra- and inter-omic fusion of metabolic profiling data in a systems biology framework
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Timothy M. D. Ebbels | Marc-Emmanuel Dumas | Jeremy K. Nicholson | Elaine Holmes | Judith M. Fonville | Selena E. Richards | T. Ebbels | J. Nicholson | S. Richards | E. Holmes | M. Dumas | J. M. Fonville
[1] Elaine Holmes,et al. Metabolic Profiling of CSF: Evidence That Early Intervention May Impact on Disease Progression and Outcome in Schizophrenia , 2006, PLoS medicine.
[2] Jingyuan Fu,et al. System-wide molecular evidence for phenotypic buffering in Arabidopsis , 2009, Nature Genetics.
[3] I. Wilson,et al. Rapid and noninvasive metabonomic characterization of inflammatory bowel disease. , 2007, Journal of proteome research.
[4] E Holmes,et al. Metabonomic characterization of genetic variations in toxicological and metabolic responses using probabilistic neural networks. , 2001, Chemical research in toxicology.
[5] G. Church,et al. Systematic determination of genetic network architecture , 1999, Nature Genetics.
[6] Jeremiah Stamler,et al. Detection of urinary drug metabolite (xenometabolome) signatures in molecular epidemiology studies via statistical total correlation (NMR) spectroscopy. , 2007, Analytical chemistry.
[7] Johan Trygg,et al. K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space , 2008, BMC Bioinformatics.
[8] António S. Barros,et al. (1)H NMR based metabonomics of human amniotic fluid for the metabolic characterization of fetus malformations. , 2009, Journal of proteome research.
[9] E Holmes,et al. Probing latent biomarker signatures and in vivo pathway activity in experimental disease states via statistical total correlation spectroscopy (STOCSY) of biofluids: application to HgCl2 toxicity. , 2006, Journal of proteome research.
[10] I. Wilson,et al. Understanding 'Global' Systems Biology: Metabonomics and the Continuum of Metabolism , 2003, Nature Reviews Drug Discovery.
[11] R. Bibiloni,et al. Panorganismal gut microbiome-host metabolic crosstalk. , 2009, Journal of proteome research.
[12] Sebastiano Collino,et al. Metabolic effects of dark chocolate consumption on energy, gut microbiota, and stress-related metabolism in free-living subjects. , 2009, Journal of proteome research.
[13] A. Smilde,et al. Fusion of mass spectrometry-based metabolomics data. , 2005, Analytical chemistry.
[14] John C. Lindon,et al. NMR Spectroscopy of Biofluids , 1999 .
[15] J. J. Jansen,et al. ASCA: analysis of multivariate data obtained from an experimental design , 2005 .
[16] J. Nap,et al. Genetical genomics : the added value from segregation , 2001 .
[17] Helena Idborg,et al. Multivariate approaches for efficient detection of potential metabolites from liquid chromatography/mass spectrometry data. , 2004, Rapid communications in mass spectrometry : RCM.
[18] Age K Smilde,et al. Metabolomics data exploration guided by prior knowledge. , 2009, Analytica chimica acta.
[19] Johan Trygg,et al. O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter , 2003 .
[20] D. Kell,et al. Metabolomics by numbers: acquiring and understanding global metabolite data. , 2004, Trends in biotechnology.
[21] Anthony D. Walmsley,et al. Quantitative iterative target transformation factor analysis , 2008 .
[22] Rasmus Bro,et al. PARAFASCA: ASCA combined with PARAFAC for the analysis of metabolic fingerprinting data , 2008 .
[23] J. Lindon,et al. Self-modeling curve resolution recovery of temporal metabolite signal modulation in NMR spectroscopic data sets: application to a life-long caloric restriction study in dogs. , 2008, Analytical chemistry.
[24] Denny Sakkas,et al. Noninvasive metabolomic profiling of human embryo culture media using Raman spectroscopy predicts embryonic reproductive potential: a prospective blinded pilot study. , 2008, Fertility and sterility.
[25] Thomas H Hutchinson,et al. Ecotoxicogenomics: the challenge of integrating genomics into aquatic and terrestrial ecotoxicology. , 2004, Aquatic toxicology.
[26] E. A. Sylvestre,et al. Self Modeling Curve Resolution , 1971 .
[27] Z. Ramadan,et al. Top-down systems biology integration of conditional prebiotic modulated transgenomic interactions in a humanized microbiome mouse model , 2008, Molecular systems biology.
[28] E. Vaughan,et al. 1H NMR metabolite profiling of feces as a tool to assess the impact of nutrition on the human microbiome , 2008, NMR in biomedicine.
[29] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[30] Svante Wold,et al. Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection , 1996 .
[31] R. Bro. Review on Multiway Analysis in Chemistry—2000–2005 , 2006 .
[32] D. Wishart,et al. The human cerebrospinal fluid metabolome. , 2008, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[33] N Salsabili,et al. Concentration of blood and seminal plasma elements and their relationships with semen parameters in men with spinal cord injury , 2009, Andrologia.
[34] R. Bro. PARAFAC. Tutorial and applications , 1997 .
[35] Brian C Sweatman,et al. Effects of feeding and body weight loss on the 1H-NMR-based urine metabolic profiles of male Wistar Han Rats: Implications for biomarker discovery , 2004, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.
[36] Ian D. Wilson,et al. 1 H NMR and UPLC-MS E statistical heterospectroscopy: Characterization of drug metabolites (Xenometabolome) in epidemiological studies (Analytical Chemistry (2008) 80, (6835-6844)) , 2008 .
[37] E. Ruppin,et al. Predicting metabolic biomarkers of human inborn errors of metabolism , 2009, Molecular systems biology.
[38] B. Hammock,et al. Mass spectrometry-based metabolomics. , 2007, Mass spectrometry reviews.
[39] David I. Ellis,et al. Metabolic fingerprinting in disease diagnosis: biomedical applications of infrared and Raman spectroscopy. , 2006, The Analyst.
[40] Elaine Holmes,et al. Magic angle spinning NMR and 1H-31P heteronuclear statistical total correlation spectroscopy of intact human gut biopsies. , 2008, Analytical chemistry.
[41] G. Hwang,et al. Metabolic profiling of kidney and urine in rats with lithium-induced nephrogenic diabetes insipidus by (1)H-NMR-based metabonomics. , 2010, American journal of physiology. Renal physiology.
[42] I. Wilson,et al. Physiological variation in metabolic phenotyping and functional genomic studies: use of orthogonal signal correction and PLS‐DA , 2002, FEBS letters.
[43] Timothy M. D. Ebbels,et al. Bioinformatic methods in NMR-based metabolic profiling , 2009 .
[44] David I. Ellis,et al. Metabolomics: Current analytical platforms and methodologies , 2005 .
[45] G. Siuzdak,et al. Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum. , 2006, Analytical chemistry.
[46] Robert S Plumb,et al. Statistical heterospectroscopy, an approach to the integrated analysis of NMR and UPLC-MS data sets: application in metabonomic toxicology studies. , 2006, Analytical chemistry.
[47] C Murali Krishna,et al. Raman spectroscopy of breast tissues , 2008, Expert review of molecular diagnostics.
[48] M. Rantalainen,et al. Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice. , 2006, Journal of proteome research.
[49] J. Lindon,et al. Metabonomics: a platform for studying drug toxicity and gene function , 2002, Nature Reviews Drug Discovery.
[50] G. Church,et al. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae , 2001, Nature Genetics.
[51] J. Macgregor,et al. Analysis of multiblock and hierarchical PCA and PLS models , 1998 .
[52] Oliver Fiehn,et al. Monolithic silica-based capillary reversed-phase liquid chromatography/electrospray mass spectrometry for plant metabolomics. , 2003, Analytical chemistry.
[53] Iven Van Mechelen,et al. UvA-DARE ( Digital Academic Repository ) A structured overview of simultaneous component based data integration , 2009 .
[54] T. Ideker,et al. A new approach to decoding life: systems biology. , 2001, Annual review of genomics and human genetics.
[55] R. Ozawa,et al. A comprehensive two-hybrid analysis to explore the yeast protein interactome , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[56] Christian Gieger,et al. A genome-wide perspective of genetic variation in human metabolism , 2010, Nature Genetics.
[57] J. Lindon,et al. The identification of novel biomarkers of renal toxicity using automatic data reduction techniques and PCA of proton NMR spectra of urine , 1998 .
[58] Pieter M. Kroonenberg,et al. Three-mode principal component analysis : theory and applications , 1983 .
[59] J. Lindon,et al. NMR‐based metabonomic approaches for evaluating physiological influences on biofluid composition , 2005, NMR in biomedicine.
[60] Age K Smilde,et al. Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis , 2007, Genome Biology.
[61] E Holmes,et al. Chemometric models for toxicity classification based on NMR spectra of biofluids. , 2000, Chemical research in toxicology.
[62] J. Leeuw,et al. Principal component analysis of three-mode data by means of alternating least squares algorithms , 1980 .
[63] Elaine Holmes,et al. Heteronuclear 19F-1H statistical total correlation spectroscopy as a tool in drug metabolism: study of flucloxacillin biotransformation. , 2008, Analytical chemistry.
[64] Matej Oresic,et al. Methods for the differential integrative omic analysis of plasma from a transgenic disease animal model. , 2004, Omics : a journal of integrative biology.
[65] Mariusz Kowalczyk,et al. A strategy for identifying differences in large series of metabolomic samples analyzed by GC/MS. , 2004, Analytical chemistry.
[66] Christian Gieger,et al. Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum , 2008, PLoS genetics.
[67] E. Ruppin,et al. Multiple knockout analysis of genetic robustness in the yeast metabolic network , 2006, Nature Genetics.
[68] E. Ibáñez,et al. Metabolomics of transgenic maize combining Fourier transform-ion cyclotron resonance-mass spectrometry, capillary electrophoresis-mass spectrometry and pressurized liquid extraction. , 2009, Journal of chromatography. A.
[69] Jost Klawitter,et al. H-NMR-based metabolic signatures of mild and severe ischemia/reperfusion injury in rat kidney transplants. , 2005, Kidney international.
[70] S. Stürzenbaum,et al. 'Systems toxicology' approach identifies coordinated metabolic responses to copper in a terrestrial non-model invertebrate, the earthworm Lumbricus rubellus , 2008, BMC Biology.
[71] O. Fiehn. Metabolomics – the link between genotypes and phenotypes , 2004, Plant Molecular Biology.
[72] J. Utzinger,et al. Metabolic profiling of a Schistosoma mansoni infection in mouse tissues using magic angle spinning-nuclear magnetic resonance spectroscopy. , 2009, International journal for parasitology.
[73] Kazuki Saito,et al. Potential of metabolomics as a functional genomics tool. , 2004, Trends in plant science.
[74] S. Wold,et al. A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm , 1994 .
[75] Johan Lindberg,et al. Correlation Network Analysis for Data Integration and Biomarker Selectionw , 2007 .
[76] B. Palsson,et al. The model organism as a system: integrating 'omics' data sets , 2006, Nature Reviews Molecular Cell Biology.
[77] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[78] Jingyuan Fu,et al. The genetics of plant metabolism , 2006, Nature Genetics.
[79] J. Nicholson,et al. Integrated metabonomic analysis of the multiorgan effects of hydrazine toxicity in the rat. , 2005, Chemical research in toxicology.
[80] L. Ségalat,et al. Metabotyping of Caenorhabditis elegans reveals latent phenotypes , 2007, Proceedings of the National Academy of Sciences.
[81] Timothy M. D. Ebbels,et al. Toxicity classification from metabonomic data using a density superposition approach: ‘CLOUDS’ , 2003 .
[82] L. Corte,et al. Development of a novel, FTIR (Fourier transform infrared spectroscopy) based, yeast bioassay for toxicity testing and stress response study. , 2010, Analytica chimica acta.
[83] J. Lindon,et al. Spectroscopic and statistical techniques for information recovery in metabonomics and metabolomics. , 2008, Annual review of analytical chemistry.
[84] Ian J. Brown,et al. Human metabolic phenotype diversity and its association with diet and blood pressure , 2008, Nature.
[85] T. Hankemeier,et al. Microbial metabolomics with gas chromatography/mass spectrometry. , 2006, Analytical chemistry.
[86] Elaine Holmes,et al. Systemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes , 2008, Molecular systems biology.
[87] T. Ebbels,et al. Metabonomic investigations into the global biochemical sequelae of exposure to the pancreatic toxin 1‐cyano‐2‐hydroxy‐3‐butene in the rat , 2009, Magnetic resonance in chemistry : MRC.
[88] M. Orešič,et al. Pathways to the analysis of microarray data. , 2005, Trends in biotechnology.
[89] J. Nicholson,et al. NMR and pattern recognition studies on liver extracts and intact livers from rats treated with alpha-naphthylisothiocyanate. , 2002, Biochemical pharmacology.
[90] Ian D Wilson,et al. HPLC-MS-based methods for the study of metabonomics. , 2005, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[91] S. Wold,et al. Orthogonal projections to latent structures (O‐PLS) , 2002 .
[92] R. Dixon,et al. Plant metabolomics: large-scale phytochemistry in the functional genomics era. , 2003, Phytochemistry.
[93] S. Wold,et al. Some recent developments in PLS modeling , 2001 .
[94] Kirill Veselkov,et al. Species variation in the fecal metabolome gives insight into differential gastrointestinal function. , 2008, Journal of proteome research.
[95] Christoph H Borchers,et al. Metabolomics: towards understanding host-microbe interactions. , 2010, Future microbiology.
[96] Susan M. Bridges,et al. Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data , 2009, BMC Bioinformatics.
[97] J C Lindon,et al. Application of pattern recognition methods to the analysis and classification of toxicological data derived from proton nuclear magnetic resonance spectroscopy of urine. , 1991, Molecular pharmacology.
[98] J. Leeuw,et al. Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms , 1987 .
[99] Jérôme Euzenat,et al. Grasping at molecular interactions and genetic networks in Drosophila melanogaster using FlyNets, an Internet database , 1999, Nucleic Acids Res..
[100] I. Wilson,et al. High resolution "ultra performance" liquid chromatography coupled to oa-TOF mass spectrometry as a tool for differential metabolic pathway profiling in functional genomic studies. , 2005, Journal of proteome research.
[101] John C. Lindon,et al. Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids , 2000 .
[102] R. Henrion. N-WAY PRINCIPAL COMPONENT ANALYSIS : THEORY, ALGORITHMS AND APPLICATIONS , 1994 .
[103] J. W. Allwood,et al. 1H NMR, GC-EI-TOFMS, and data set correlation for fruit metabolomics: application to spatial metabolite analysis in melon. , 2009, Analytical chemistry.
[104] Daniel Eriksson,et al. Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data. , 2007, The Plant journal : for cell and molecular biology.
[105] J. Lindon,et al. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. , 1999, Xenobiotica; the fate of foreign compounds in biological systems.
[106] E. Fukusaki,et al. Plant metabolomics: potential for practical operation. , 2005, Journal of bioscience and bioengineering.
[107] W. Weckwerth. Metabolomics in systems biology. , 2003, Annual review of plant biology.
[108] S. Wold,et al. The kernel algorithm for PLS , 1993 .
[109] J C Lindon,et al. Pattern recognition classification of the site of nephrotoxicity based on metabolic data derived from proton nuclear magnetic resonance spectra of urine. , 1994, Molecular pharmacology.
[110] Sebastiano Collino,et al. Multivariate modeling strategy for intercompartmental analysis of tissue and plasma 1H NMR spectrotypes. , 2009, Journal of proteome research.
[111] Susumu Goto,et al. Clofibrate-induced changes in the liver, heart, brain and white adipose lipid metabolome of Swiss-Webster mice , 2007, Metabolomics.
[112] G. Siuzdak,et al. From exogenous to endogenous: the inevitable imprint of mass spectrometry in metabolomics. , 2007, Journal of proteome research.
[113] R. A. van den Berg,et al. Centering, scaling, and transformations: improving the biological information content of metabolomics data , 2006, BMC Genomics.
[114] M. Reily,et al. Metabonomics: evaluation of nuclear magnetic resonance (NMR) and pattern recognition technology for rapid in vivo screening of liver and kidney toxicants. , 2000, Toxicological sciences : an official journal of the Society of Toxicology.
[115] Wojtek J. Krzanowski,et al. Principles of multivariate analysis : a user's perspective. oxford , 1988 .
[116] M. Daly,et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.
[117] Michel Tenenhaus,et al. Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements , 2001 .
[118] Matthias Reuss,et al. Integrated Sampling Procedure for Metabolome Analysis , 2008, Biotechnology progress.
[119] Susumu Goto,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..
[120] Jeremy K Nicholson,et al. An integrated reverse functional genomic and metabolic approach to understanding orotic acid-induced fatty liver. , 2004, Physiological genomics.
[121] John C Lindon,et al. An integrated metabonomic approach to describe temporal metabolic disregulation induced in the rat by the model hepatotoxin allyl formate. , 2006, Journal of proteome research.
[122] J. Utzinger,et al. Bidirectional correlation of NMR and capillary electrophoresis fingerprints: a new approach to investigating Schistosoma mansoni infection in a mouse model. , 2010, Analytical chemistry.
[123] Rasmus Bro,et al. Generalized correlation loadings: Extending correlation loadings to congruence and to multi-way models , 2006 .
[124] J. Macgregor,et al. Monitoring batch processes using multiway principal component analysis , 1994 .
[125] Henrik Antti,et al. Spectral editing and pattern recognition methods applied to high-resolution magic-angle spinning 1H nuclear magnetic resonance spectroscopy of liver tissues. , 2003, Analytical biochemistry.
[126] Rasmus Bro,et al. Analysis of lipoproteins using 2D diffusion-edited NMR spectroscopy and multi-way chemometrics , 2005 .
[127] C. Lambalk,et al. Metabolomic profiling by near-infrared spectroscopy as a tool to assess embryo viability: a novel, non-invasive method for embryo selection. , 2008, Human reproduction.
[128] Matej Oresic,et al. Integrative biological analysis of the APOE*3-leiden transgenic mouse. , 2004, Omics : a journal of integrative biology.
[129] P. Elliott,et al. Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research: the INTERMAP Study. , 2006, Analytical chemistry.
[130] J. Lindon,et al. Metabonomics and its role in drug development and disease diagnosis , 2004, Expert review of molecular diagnostics.
[131] Elaine Holmes,et al. Metabonomic deconvolution of embedded toxicity: application to thioacetamide hepato- and nephrotoxicity. , 2005, Chemical research in toxicology.
[132] A. Fernie,et al. Gas chromatography mass spectrometry–based metabolite profiling in plants , 2006, Nature Protocols.
[133] R. Albert. Network Inference, Analysis, and Modeling in Systems Biology , 2007, The Plant Cell Online.
[134] Sven P. Jacobsson,et al. Evaluation of different techniques for data fusion of LC/MS and 1H-NMR , 2007 .
[135] Hl Mao,et al. Evaluation of filtering effects of orthogonal signal correction on metabonomic analysis of healthy human serum H-1 NMR spectra , 2007 .
[136] D. Gauguier,et al. Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets. , 2005, Analytical chemistry.
[137] Erik Johansson,et al. Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm) , 2004, Analytical and bioanalytical chemistry.
[138] T. Ebbels,et al. Analytical reproducibility in (1)H NMR-based metabonomic urinalysis. , 2002, Chemical research in toxicology.
[139] Donald G Robertson,et al. Heteronuclear 1H-31P statistical total correlation NMR spectroscopy of intact liver for metabolic biomarker assignment: application to galactosamine-induced hepatotoxicity. , 2007, Analytical chemistry.
[140] S. Wold,et al. Orthogonal signal correction of near-infrared spectra , 1998 .
[141] Xinjie Zhao,et al. Strategy for metabonomics research based on high-performance liquid chromatography and liquid chromatography coupled with tandem mass spectrometry. , 2005, Journal of chromatography. A.
[142] Ryutaro Hirose,et al. Metabolic profiling of livers and blood from obese Zucker rats. , 2006, Journal of hepatology.
[143] Robert S Plumb,et al. 1H NMR and UPLC-MS(E) statistical heterospectroscopy: characterization of drug metabolites (xenometabolome) in epidemiological studies. , 2008, Analytical chemistry.
[144] Markus J. Herrgård,et al. Network-based prediction of human tissue-specific metabolism , 2008, Nature Biotechnology.
[145] Elaine Holmes,et al. Prediction and classification of drug toxicity using probabilistic modeling of temporal metabolic data: the consortium on metabonomic toxicology screening approach. , 2007, Journal of proteome research.
[146] A. K. Smilde,et al. Dynamic metabolomic data analysis: a tutorial review , 2009, Metabolomics.
[147] T. Ebbels,et al. NMR-based metabolic profiling identifies biomarkers of liver regeneration following partial hepatectomy in the rat. , 2010, Journal of proteome research.
[148] B. Kowalski,et al. Multivariate curve resolution applied to spectral data from multiple runs of an industrial process , 1993 .
[149] Ian D. Wilson,et al. HIGH RESOLUTION PROTON MAGNETIC RESONANCE SPECTROSCOPY OF BIOLOGICAL FLUIDS , 1989 .
[150] Dominique Gauguier,et al. Direct quantitative trait locus mapping of mammalian metabolic phenotypes in diabetic and normoglycemic rat models , 2007, Nature Genetics.
[151] Donald G Robertson,et al. Metabonomics in toxicology: a review. , 2005, Toxicological sciences : an official journal of the Society of Toxicology.
[152] R. Bro,et al. Multiway chemometric analysis of the metabolic response to toxins monitored by NMR , 2005 .
[153] R. Bro. Multiway calibration. Multilinear PLS , 1996 .
[154] I. Wilson,et al. Cyclosporin A-induced changes in endogenous metabolites in rat urine: a metabonomic investigation using high field 1H NMR spectroscopy, HPLC-TOF/MS and chemometrics. , 2004, Journal of pharmaceutical and biomedical analysis.
[155] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[156] Jérôme Pagès,et al. Multiple factor analysis (AFMULT package) , 1994 .
[157] Karl-Heinz Ott,et al. Metabonomics classifies pathways affected by bioactive compounds. Artificial neural network classification of NMR spectra of plant extracts. , 2003, Phytochemistry.
[158] Age K. Smilde,et al. Real-life metabolomics data analysis : how to deal with complex data ? , 2010 .
[159] Laurent Debrauwer,et al. Selection of biomarkers by a multivariate statistical processing of composite metabonomic data sets using multiple factor analysis. , 2005, Journal of proteome research.
[160] Julie A. Dickerson,et al. VitisNet: “Omics” Integration through Grapevine Molecular Networks , 2009, PloS one.
[161] H. Kitano. Systems Biology: A Brief Overview , 2002, Science.
[162] R. Tauler. Multivariate curve resolution applied to second order data , 1995 .
[163] Bas Teusink,et al. Multi‐way analysis of flux distributions across multiple conditions , 2009 .
[164] Denny Sakkas,et al. Noninvasive metabolomic profiling of embryo culture media using proton nuclear magnetic resonance correlates with reproductive potential of embryos in women undergoing in vitro fertilization. , 2008, Fertility and sterility.
[165] E Holmes,et al. NMR and pattern recognition studies on the time-related metabolic effects of alpha-naphthylisothiocyanate on liver, urine, and plasma in the rat: an integrative metabonomic approach. , 2001, Chemical research in toxicology.
[166] R. Stoughton,et al. Genetics of gene expression surveyed in maize, mouse and man , 2003, Nature.
[167] Johan Trygg,et al. Integrated analysis of transcript, protein and metabolite data to study lignin biosynthesis in hybrid aspen. , 2009, Journal of proteome research.
[168] A. Fernie,et al. Metabolite profiling: from diagnostics to systems biology , 2004, Nature Reviews Molecular Cell Biology.
[169] M. McCarthy,et al. Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice , 2006, Proceedings of the National Academy of Sciences.
[170] D. Schomburg,et al. GC–MS libraries for the rapid identification of metabolites in complex biological samples , 2005, FEBS letters.
[171] Luigi Ferrucci,et al. Genome-Wide Association Study of Plasma Polyunsaturated Fatty Acids in the InCHIANTI Study , 2009, PLoS genetics.
[172] Tom F. Wilderjans,et al. Integrating functional genomics data using maximum likelihood based simultaneous component analysis , 2009, BMC Bioinformatics.
[173] S. de Jong,et al. A framework for sequential multiblock component methods , 2003 .
[174] M. Tomita,et al. Quantitative metabolome analysis using capillary electrophoresis mass spectrometry. , 2003, Journal of proteome research.
[175] Henrik Antti,et al. Application of orthogonal signal correction to minimise the effects of physical and biological variation in high resolution 1H NMR spectra of biofluids. , 2002, The Analyst.
[176] Aalim Weljie,et al. Understanding the human salivary metabolome , 2009, NMR in biomedicine.
[177] John C Lindon,et al. Kinetic and J-resolved statistical total correlation NMR spectroscopy approaches to structural information recovery in complex reacting mixtures: application to acyl glucuronide intramolecular transacylation reactions. , 2008, Analytical chemistry.
[178] S. Šašiċ,et al. Two-Dimensional Correlation Analysis of Nuclear Magnetic Resonance Metabonomics Data , 2008, Applied spectroscopy.