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

MOTIVATION: (1)H-NMR metabolomics is rapidly becoming a standard resource in large epidemiological studies to acquire metabolic profiles in large numbers of samples in a relatively low-priced and standardized manner. Concomitantly, metabolomics-based models are increasingly developed that capture di...

Descripción completa

Detalles Bibliográficos
Autores principales: Bizzarri, D, Reinders, M J T, Beekman, M, Slagboom, P E, van den Akker, E B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344846/
https://www.ncbi.nlm.nih.gov/pubmed/35695757
http://dx.doi.org/10.1093/bioinformatics/btac388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344846/
https://www.ncbi.nlm.nih.gov/pubmed/35695757
http://dx.doi.org/10.1093/bioinformatics/btac388

Ejemplares similares