Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts

Brydges, C., Che, X., Lipkin, W. I., & Fiehn, O. (2023). Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts. Metabolites, 13(9), 984. https://doi.org/10.3390/metabo13090984
Authors:
Christopher Brydges
Xiaoyu Che
Walter Ian Lipkin
Oliver Fiehn
Affiliated Authors:
Xiaoyu Che
Walter Ian Lipkin
Columbia Affiliation:
Author Keywords:
bayesian
me/cfs
metabolomics
p-value
statistics
elink
Publication Type:
Article
Unique ID:
10.3390/metabo13090984
DOI:
10.3390/metabo13090984
Journal:
Metabolites
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View PubMed Record

Record Created: