Fig. 4 | Scientific Reports

Fig. 4

From: Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential targets for drug repurposing

Fig. 4

Analysis of differential expression of PRDEGs in the IS dataset. (A) Plot of PRDEGs grouped in the IS dataset comparing the IS group and the control group (Control). (B–I) ROC curves based on PRDEGs: AHSA1, APAF1, ATF6, ATG7 (B); BIRC2, BNIP3L, CEBPB, CTSG (C); DNMT1, ELAVL1, GSK3B, IKBKE (D); IL18BP, IL32, IRAK3, JUN (E); LRPPRC, NDUFA13, NFE2L2, NFS1 (F); NLRP3, OSM, PTGS2, SERPINB1 (G); STAT3, TCEA3, TLR2, TNFSF13B (H); TRAF3, TREM1, UBE2D3, VIM (I). Symbol ns equals P ≥ 0.05, which is not statistically significant; symbol * equals P.value < 0.05, which is statistically significant; symbol ** equals P.value < 0.01, which is highly statistically significant; and symbol *** equals P.value < 0.001, which is highly statistically significant. The closer the AUC in the ROC curve is to 1.0, the better the distinguishing power. ROC receiver operating characteristic curve, AUC area under curve.

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