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A Computationally Lightweight Algorithm for Deriving Reliable Metabolite Panel Measurements from 1D 1H NMR.
Takis, Panteleimon G; Jiménez, Beatriz; Al-Saffar, Nada M S; Harvey, Nikita; Chekmeneva, Elena; Misra, Shivani; Lewis, Matthew R.
Afiliação
  • Takis PG; National Phenome Centre, Imperial College London, Hammer-smith Campus, IRDB Building, London W12 0NN, United Kingdom.
  • Jiménez B; Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Al-Saffar NMS; National Phenome Centre, Imperial College London, Hammer-smith Campus, IRDB Building, London W12 0NN, United Kingdom.
  • Harvey N; Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Chekmeneva E; National Phenome Centre, Imperial College London, Hammer-smith Campus, IRDB Building, London W12 0NN, United Kingdom.
  • Misra S; Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Lewis MR; National Phenome Centre, Imperial College London, Hammer-smith Campus, IRDB Building, London W12 0NN, United Kingdom.
Anal Chem ; 93(12): 4995-5000, 2021 03 30.
Article em En | MEDLINE | ID: mdl-33733737
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies Idioma: En Revista: Anal Chem Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies Idioma: En Revista: Anal Chem Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido