Mimir: r-shiny application to infer risk factors and endpoints from nightingale health’s h-nmr metabolomics data

HIGHLIGHTS

• who: Bioinformatics and collaborators from the The Netherlands and Max Planck Institute for the Biology of Ageing, Cologne, Germany have published the Article: MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Healthu2019s H-NMR metabolomics data, in the Journal: (JOURNAL)
• what: The authors evaluate the metabolomics features assayed by Nightingale Health through correlation plots and histograms of their distributions.
• how: As there is a growing interest in integrating metabolomics-based scores in epidemiological studies the authors developed MiMIR (Metabolomics-based Models for Imputing Risk) a toolbox enabling visual inspection . . .
  

   

  

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