Research Paper Volume 16, Issue 7 pp 6314—6333
Machine learning identifies novel coagulation genes as diagnostic and immunological biomarkers in ischemic stroke
Figure 9. GSEA enrichment analysis on each key CGs based on “GO term” reference gene sets. GSEA plot was based on the gene expression profiles of key CG-high expression group compared with key CG-low expression group. The vertical colorful lines represent the running enrichment scores as the projection of individual genes onto the horizontal ranked gene list. The bottom ranking matric in gray, moving from above zero (positively correlated) to below zero (negatively correlated), measures a gene’s correlation with the phenotype profile. (A) Actinin alpha 1 (ACTN1). (B) Talin 1 (TLN1). (C) Coagulation factor V (F5). (D) WASP actin nucleation promoting factor (WAS). (E) Jumonji domain containing 1C (JMJD1C).