Research Paper Volume 16, Issue 7 pp 6314—6333

Machine learning identifies novel coagulation genes as diagnostic and immunological biomarkers in ischemic stroke

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Figure 4. Difference of functional enrichment of genes in cluster 1 and cluster 2. Heatmap displaying differentially enriched GO terms (A) and KEGG pathways (B) between cluster 1 and cluster 2 by calculating enrichment score using GSVA. The tiny boxes in the heatmap are colored by mean GSVA scores from dark red to dark blue. (C) Bar chart displaying GO terms sorted by adjusted p value in the category of biological process (BP), cellular component (CC) and molecular function (MF) that DEGs between cluster 1 and cluster 2 are enriched in. (D) Bar chart showing that DEGs between cluster 1 and cluster 2 were significantly enriched in nine KEGG pathways using p <0.05 as cutoff.