Figure 3 Statistical approaches for the analysis of metabolomic data

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Presentation transcript:

Figure 3 Statistical approaches for the analysis of metabolomic data Figure 3 | Statistical approaches for the analysis of metabolomic data. After quality control of the metabolite data, analysis can focus on single metabolite associations with the trait of interest (univariate analysis), or the effects of multiple metabolites on the outcome being studied (multivariate analysis). Results can then be validated using different approaches and fed into network analysis. FDR; false discovery rate. Menni, C. et al. (2017) Mixing omics: combining genetics and metabolomics to study rheumatic diseases Nat. Rev. Rheumatol. doi:10.1038/nrrheum.2017.5