The intersection of the three machine learning algorithms identified five genes as potential key biomarkers for hypertension: calmodulin 3 (CLAM3), CD9, growth factor independent 1B transcriptional repressor (GFI1B), myosin light chain kinase (MYLK), and Ras Suppressor Protein 1 (RSU1) (Figure 7F). The gene discussed is GFI1B; the disease is hypertensive disorder.