Research Paper Volume 16, Issue 11 pp 9369—9385
Identification of key genes and biological pathways associated with vascular aging in diabetes based on bioinformatics and machine learning
Figure 3. Screening and functional enrichment analysis of diabetic vascular aging-related genes. (A) Boxplots of gene expressions after the removal of inter-batch effect. (B) UMAP analysis after the removal of inter-batch effect. (C) Volcano plot of differential expression analysis. (D) Identification of common DEGs (diabetic vascular aging-related genes). (E) Heatmap of gene expression for diabetic vascular aging-related genes. (F) PPI analysis of diabetic vascular aging-related genes. (G) KEGG and GO enrichment analysis of diabetic vascular aging-related genes. (H) Heatmap of differentially expressed signaling pathways (GSVA).