Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts
Univariate analyses of metabolomics data currently follow a frequentist approach, using <i>p</i>-values to reject a null hypothesis. We here propose the use of Bayesian statistics to quantify evidence supporting different hypotheses and discriminate between the null hypothesis versus the lack of sta...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
MDPI AG
2023-08-01
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| Cyfres: | Metabolites |
| Pynciau: | |
| Mynediad Ar-lein: | https://www.mdpi.com/2218-1989/13/9/984 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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