Name
Title | ||
|---|---|---|
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's H-1-NMR metabolomics data |
Abstract | ||
|---|---|---|
Motivation: H-1-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 disease risk or clinical risk factors. These developments raise the need for user-friendly toolbox to inspect new H-1-NMR metabolomics data and project a wide array of previously established risk models. Results: We present MiMIR (Metabolomics-based Models for Imputing Risk), a graphical user interface that provides an intuitive framework for ad hoc statistical analysis of Nightingale Health's H-1-NMR metabolomics data and allows for the projection and calibration of 24 pre-trained metabolomics-based models, without any pre-required programming knowledge. Availability and implementation: The R-shiny package is available in CRAN or downloadable at , together with an extensive user manual (also available as Supplementary Documents to the article). |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1093/bioinformatics/btac388 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 38 | 15 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D Bizzarri | 1 | 0 | 0.34 |
| Marcel J. T. Reinders | 2 | 1556 | 104.09 |
| M Beekman | 3 | 0 | 0.34 |
| P E Slagboom | 4 | 0 | 0.34 |
| E B van den Akker | 5 | 0 | 0.34 |