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

Daniele Bizzarri, Marcel J. T. Reinders, Marian Beekman, P. Eline Slagboom, Erik van den Akker. MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics data. Bioinformatics, 38(15):3847-3849, 2022. [doi]

@article{BizzarriRBSA22,
  title = {MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics data},
  author = {Daniele Bizzarri and Marcel J. T. Reinders and Marian Beekman and P. Eline Slagboom and Erik van den Akker},
  year = {2022},
  doi = {10.1093/bioinformatics/btac388},
  url = {https://doi.org/10.1093/bioinformatics/btac388},
  researchr = {https://researchr.org/publication/BizzarriRBSA22},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {38},
  number = {15},
  pages = {3847-3849},
}