Metabolomics by numbers: acquiring and understanding global metabolite data.
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D. Kell | R. Goodacre | W. Dunn | S. Vaidyanathan | G. Harrigan | W. Dunn
[1] Lotfi A. Zadeh,et al. General System Theory , 1962 .
[2] D. F. Morrison,et al. Multivariate Statistical Methods , 1968 .
[3] Robert L. Campbell,et al. ESCHERICHIA COLI K-12* , 1973 .
[4] F. Sanger,et al. Sequence and organization of the human mitochondrial genome , 1981, Nature.
[5] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[6] Douglas B. Kell,et al. Metabolic control theory: its role in microbiology and biotechnology , 1986 .
[7] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[8] B. Manly. Multivariate Statistical Methods : A Primer , 1986 .
[9] J. Clegg,et al. The Organization of Cell Metabolism , 1986, NATO ASI Series.
[10] Henrik Kacser. On Parts and Wholes in Metabolism , 1986 .
[11] D. Rumelhart. Parallel Distributed Processing Volume 1: Foundations , 1987 .
[12] H V Westerhoff,et al. Matrix method for determining steps most rate‐limiting to metabolic fluxes in biotechnological processes , 1987, Biotechnology and bioengineering.
[13] David S. Broomhead,et al. Multivariable Functional Interpolation and Adaptive Networks , 1988, Complex Syst..
[14] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[15] P. Harrington,et al. Fuzzy multivariate rule‐building expert systems: Minimal neural networks , 1991 .
[16] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[17] Halbert White,et al. Artificial Neural Networks: Approximation and Learning Theory , 1992 .
[18] B. Kowalski,et al. The parsimony principle applied to multivariate calibration , 1993 .
[19] John Maddox. Towards more measurement in biology , 1994, Nature.
[20] R. Fleischmann,et al. Whole-genome random sequencing and assembly of Haemophilus influenzae Rd. , 1995, Science.
[21] H. Westerhoff,et al. Protein burden in Zymomonas mobilis: negative flux and growth control due to overproduction of glycolytic enzymes , 1995 .
[22] D. Kell,et al. Correction of mass spectral drift using artificial neural networks. , 1996, Analytical chemistry.
[23] D. Fell. Understanding the Control of Metabolism , 1996 .
[24] Zbigniew Michalewicz,et al. Handbook of Evolutionary Computation , 1997 .
[25] N. W. Davis,et al. The complete genome sequence of Escherichia coli K-12. , 1997, Science.
[26] Christopher M. Bishop,et al. Classification and regression , 1997 .
[27] Joachim Diederich,et al. The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks , 1998, IEEE Trans. Neural Networks.
[28] F Baganz,et al. Systematic functional analysis of the yeast genome. , 1998, Trends in biotechnology.
[29] Shinichi Morishita,et al. On Classification and Regression , 1998, Discovery Science.
[30] R. D'ari. Systematic functional analysis of the yeast genome , 1998 .
[31] Douglas B. Kell,et al. SNAPSHOTS OF SYSTEMS - METABOLIC CONTROL ANALYSIS AND BIOTECHNOLOGY , 1999 .
[32] S. Brenner. Errors in genome annotation. , 1999, Trends in genetics : TIG.
[33] 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.
[34] Stephen Muggleton,et al. Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic , 1999, Artif. Intell..
[35] Andreas Manz,et al. Chip-based microsystems for genomic and proteomic analysis , 2000 .
[36] R. King,et al. On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning. , 2000, Trends in biotechnology.
[37] Athel Cornish-Bowden,et al. Technological and Medical Implications of Metabolic Control Analysis , 2000 .
[38] Peter A. Flach,et al. Abduction and induction: essays on their relation and integration , 2000 .
[39] R. Albert,et al. The large-scale organization of metabolic networks , 2000, Nature.
[40] M. Daly,et al. Guilt by association , 2000, Nature Genetics.
[41] M. Mann,et al. Analysis of proteins and proteomes by mass spectrometry. , 2001, Annual review of biochemistry.
[42] D. Haussler,et al. A physical map of the human genome , 2001, Nature.
[43] Oliver Fiehn,et al. Combining Genomics, Metabolome Analysis, and Biochemical Modelling to Understand Metabolic Networks , 2001, Comparative and functional genomics.
[44] D B Kell,et al. Genomic computing. Explanatory analysis of plant expression profiling data using machine learning. , 2001, Plant physiology.
[45] P. Marriott,et al. Concepts and Preliminary Observations on the Triple-Dimensional Analysis of Complex Volatile Samples by Using GC×GC−TOFMS , 2001 .
[46] D. Fell,et al. The small world inside large metabolic networks , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[47] D. Kell,et al. A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations , 2001, Nature Biotechnology.
[48] Royston Goodacre,et al. Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends. , 2001 .
[49] Jason E. Stewart,et al. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.
[50] Timothy B. Stockwell,et al. The Sequence of the Human Genome , 2001, Science.
[51] F. McLafferty,et al. Electrospray ionization mass spectrometry analysis of changes in phospholipids in RBL-2H3 mastocytoma cells during degranulation , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[52] H. Westerhoff,et al. Transcriptome meets metabolome: hierarchical and metabolic regulation of the glycolytic pathway , 2001, FEBS letters.
[53] M. Rashed,et al. Clinical applications of tandem mass spectrometry: ten years of diagnosis and screening for inherited metabolic diseases. , 2001, Journal of chromatography. B, Biomedical sciences and applications.
[54] W. Petrich. MID-INFRARED AND RAMAN SPECTROSCOPY FOR MEDICAL DIAGNOSTICS , 2001 .
[55] Oliver Fiehn,et al. Analysis of highly polar compounds of plant origin: combination of hydrophilic interaction chromatography and electrospray ion trap mass spectrometry. , 2002, Analytical biochemistry.
[56] Douglas B Kell,et al. Genotype-phenotype mapping: genes as computer programs. , 2002, Trends in genetics : TIG.
[57] Pedro Mendes,et al. Emerging bioinformatics for the metabolome , 2002, Briefings Bioinform..
[58] Colin R. Reeves,et al. Genetic Algorithms: Principles and Perspectives: A Guide to Ga Theory , 2002 .
[59] Eduardo Sontag,et al. Untangling the wires: A strategy to trace functional interactions in signaling and gene networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[60] H. Kitano. Systems Biology: A Brief Overview , 2002, Science.
[61] Susumu Goto,et al. The KEGG databases at GenomeNet , 2002, Nucleic Acids Res..
[62] J. Nicholson,et al. Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics , 2002, Nature Medicine.
[63] O. Fiehn,et al. Can we discover novel pathways using metabolomic analysis? , 2002, Current opinion in biotechnology.
[64] D. Goodenowe,et al. Nontargeted metabolome analysis by use of Fourier Transform Ion Cyclotron Mass Spectrometry. , 2002, Omics : a journal of integrative biology.
[65] Chris F. Taylor,et al. A systematic approach to modeling, capturing, and disseminating proteomics experimental data , 2003, Nature Biotechnology.
[66] J. Lindon,et al. So what's the deal with metabonomics? , 2003, Analytical chemistry.
[67] C. Beecher,et al. The Human Metabolome , 2003 .
[68] Dianjing Guo,et al. Databases and Visualization for Metabolomics , 2003 .
[69] D. Kell,et al. High-throughput classification of yeast mutants for functional genomics using metabolic footprinting , 2003, Nature Biotechnology.
[70] Jian Yang,et al. Metabolomics spectral formatting, alignment and conversion tools (MSFACTs) , 2003, Bioinform..
[71] Jürgen Kurths,et al. Observing and Interpreting Correlations in Metabolic Networks , 2003, Bioinform..
[72] I. Wilson,et al. Understanding 'Global' Systems Biology: Metabonomics and the Continuum of Metabolism , 2003, Nature Reviews Drug Discovery.
[73] Nigel Hardy,et al. Databases, Data Modeling and Schemas , 2003 .
[74] Age K Smilde,et al. Quantitative analysis of target components by comprehensive two-dimensional gas chromatography. , 2003, Journal of chromatography. A.
[75] I. Wilson,et al. Topics in Xenobiochemistry: Do metabolic pathways exist for xenobiotics? The micro-metabolism hypothesis , 2003, Xenobiotica; the fate of foreign compounds in biological systems.
[76] U. Roessner,et al. Overexpression of the sucrose transporter SoSUT1 in potato results in alterations in leaf carbon partitioning and in tuber metabolism but has little impact on tuber morphology , 2003, Planta.
[77] B. Palsson,et al. Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. , 2003, Genome research.
[78] B. Palsson,et al. Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[79] R. Goodacre,et al. Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis , 2003, Springer US.
[80] W. Weckwerth. Metabolomics in systems biology. , 2003, Annual review of plant biology.
[81] J. Selbig,et al. Parallel analysis of transcript and metabolic profiles: a new approach in systems biology , 2003, EMBO reports.
[82] D. Kell,et al. Explanatory optimization of protein mass spectrometry via genetic search. , 2003, Analytical chemistry.
[83] Hiroaki Kitano,et al. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models , 2003, Bioinform..
[84] Alisdair R Fernie,et al. Predictive Metabolic Engineering: A Goal for Systems Biology1 , 2003, Plant Physiology.
[85] William B. Langdon,et al. Genetic Algorithms—Principles and Perspectives, A Guide to GA Theory by Colin R. Reeves and Jonathan E. Rowe, Kluwer Academic Publishers, 332 pp., $120.00, ISBN 1-4020-7240-6 , 2004, The Knowledge Engineering Review.
[86] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[87] Douglas B. Kell,et al. Metabolomics and Machine Learning: Explanatory Analysis of Complex Metabolome Data Using Genetic Programming to Produce Simple, Robust Rules , 2004, Molecular Biology Reports.
[88] D. Kell,et al. Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era. , 2004, BioEssays : news and reviews in molecular, cellular and developmental biology.
[89] Christopher H. Bryant,et al. Functional genomic hypothesis generation and experimentation by a robot scientist , 2004, Nature.
[90] A. Barabasi,et al. Network biology: understanding the cell's functional organization , 2004, Nature Reviews Genetics.
[91] O. Fiehn. Metabolomics – the link between genotypes and phenotypes , 2004, Plant Molecular Biology.
[92] D. Kell. Metabolomics and systems biology: making sense of the soup. , 2004, Current opinion in microbiology.
[93] Wolfgang Petrich. MID-INFRARED AND RAMAN SPECTROSCOPY FOR MEDICAL DIAGNOSTICS? , 2006 .