Fig. 7
From: ProMetIS, deep phenotyping of mouse models by combined proteomics and metabolomics analysis
Quality control of the metabolomics datasets. (a) Scores of the datasets according to five metrics visualized as a radar plot. The two “Drift” metrics assess the absence of unwanted variation due to a signal drift by univariate and multivariate approaches, whereas the three “QC” metrics evaluate the quality of the pooled QC samples. CV: coefficient of variation; ICC: intraclass correlation coefficient. (b) PCA score plots displaying the samples and pooled QCs with a color gradient according to the injection order. QC: pooled quality control sample; s: biological sample.
