Fig. 2From: Flimma: a federated and privacy-aware tool for differential gene expression analysisThe comparison of negative log-transformed p-values computed by Flimma and meta-analysis methods (y-axis) with p-values obtained by limma on the aggregated dataset (x-axis) in three scenarios on A TCGA-BRCA and B GTEx skin datasets. Pearson correlation coefficient (r), Spearman correlation coefficient (ρ), and root-mean squared error (RMSE) calculated for each method are reported in the legendBack to article page