Additional file 1 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

Supplementary Material 1. Supplementary Table 1. PCD-related gene sets. Supplementary Table 2. Neutrophil-related gene sets. Supplementary Table 3. The normalized ssGSEA scores of 17 PCD-related and Neutrophil-related gene sets. Supplementary Table 4. SOM on expression profile of training set. Supplementary Table 5. Detailed information of DEGs analysis of training set. Supplementary Table 6. The Pearson’s correlation analysis on Neutrophil-related and PCD-related genes. Supplementary Table 7. A total of 63 published signatures were retrieved from the literatures. Supplementary Table 8. Clinical information of external validation set (GSE34198). Supplementary Table 9. NMF results of GSE123342, GSE60993, GSE34198. Supplementary Table 10. GSEA on cluster 1 and cluster 2 of GSE123342, GSE60993, GSE34198 using NETosis, neutrophil, and neutrophil degranulation gene sets. Supplementary Table 11. Percentage of cell population at different periods in control and experimental groups. Supplementary Table 12. Percentage of neutrophil population at different periods in control and experimental groups. Supplementary Table 13. Within Clusters Sum of Squares (WCSS) metric was utilized as a basis to determine the optimal numbers of K-means clustering on DEGs between N1 and N2 subgroups. Supplementary Table 14. Sensitivity analysis of two-sample MR. Supplementary Table 15. Predictive drugs targeting MDM2 via Enrichr database.