Fig. 4

Quality and robustness of the classification model with a L2-norm penalty function based on the cumulative expression levels of genes included in considered MI transcriptional signatures: {ADAP2}, {KLRB1 + KLRC1, KLRD1, KLRF1}, {MIR21 + BCL6, CCR1, PDGFD, TGFBR3, S100A12}, {MIR223 + MAFB} and {C3AR1, CD14, CR1, S100A12, SLC11A1}. a Areas Under receiver operating characteristic Curve (ROC-AUC) for the training (GSE59867) and test (GSE62646) datasets. b Time-depended (starting from MI onset) ROC-AUC metrics of the classification model