"MiMIR: R-shiny application to infer risk factors and endpoints from ..."

Daniele Bizzarri et al. (2022)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAC388

access: open

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/BizzarriRBSA22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/BizzarriRBSA22
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. Bioinform. 38(15): 3847-3849 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.