MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics data.

Bizzarri, D; Reinders, M J T; Beekman, M; Slagboom, P E; van den Akker, E B

Bizzarri, D; Reinders, M J T; Beekman, M; Slagboom, P E; van den Akker, E B.

Afiliação

Bizzarri D; Molecular Epidemiology, Biomedical Data Sciences, LUMC, 2333 ZC Leiden, The Netherlands.
Reinders MJT; Leiden Computational Biology Center, Biomedical Data Sciences, LUMC, 2333 ZC Leiden, The Netherlands.
Beekman M; Leiden Computational Biology Center, Biomedical Data Sciences, LUMC, 2333 ZC Leiden, The Netherlands.
Slagboom PE; Delft Bioinformatics Lab, Intelligent Systems, TU Delft, 2628 XE Delft, The Netherlands.
van den Akker EB; Molecular Epidemiology, Biomedical Data Sciences, LUMC, 2333 ZC Leiden, The Netherlands.

Bioinformatics ; 38(15): 3847-3849, 2022 08 02.

Article em En | MEDLINE | ID: mdl-35695757

Assuntos

Metabolômica; Software; Espectroscopia de Prótons por Ressonância Magnética; Metabolômica/métodos; Metaboloma; Fatores de Risco

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Metabolômica Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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