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A Unified Conceptual Framework for Metabolic Phenotyping in Diagnosis and Prognosis.
Everett, Jeremy R; Holmes, Elaine; Veselkov, Kirill A; Lindon, John C; Nicholson, Jeremy K.
Affiliation
  • Everett JR; Medway Metabonomics Research Group, University of Greenwich, Medway Campus, Chatham Maritime, Kent ME4 4TB, UK. Electronic address: j.r.everett@greenwich.ac.uk.
  • Holmes E; Division of Computational and Systems Medicine and Medical Research Council (MRC) National Institute for Health Research (NIHR) National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.
  • Veselkov KA; Division of Computational and Systems Medicine and Medical Research Council (MRC) National Institute for Health Research (NIHR) National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.
  • Lindon JC; Division of Computational and Systems Medicine and Medical Research Council (MRC) National Institute for Health Research (NIHR) National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.
  • Nicholson JK; Division of Computational and Systems Medicine and Medical Research Council (MRC) National Institute for Health Research (NIHR) National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. Electronic address: Jeremy.
Trends Pharmacol Sci ; 40(10): 763-773, 2019 10.
Article de En | MEDLINE | ID: mdl-31511194
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Techniques et procédures diagnostiques / Métabolomique Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Animals / Humans Langue: En Journal: Trends Pharmacol Sci Année: 2019 Type de document: Article Pays de publication: Royaume-Uni
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Techniques et procédures diagnostiques / Métabolomique Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Animals / Humans Langue: En Journal: Trends Pharmacol Sci Année: 2019 Type de document: Article Pays de publication: Royaume-Uni