Fig. 5

Quality and robustness of the classification model with a L1-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 Coefficients of the classification model; the most important upregulated genes ADAP2, MIR21 and CD14 are marked in red, downregulated genes KLRC1 and PDGFD–in blue colour. b ROC-AUC metrics of the L1-regularized classification model consisted of ADAP2, MIR21 and CD14 genes. ROC-AUC were constructed using the training (GSE59867) and test (GSE62646) datasets. c Time-depended (starting from MI onset) ROC-AUC metrics of the L1-regularized classification model based on test dataset