The results derived from the three machine learning methods were intersected and illustrated in a Venn diagram (Figure 3F), revealing six transcriptional biomarkers critical for differentiating periodontitis tissues from healthy tissues: ALOX12B, BNIP3, CEBPG, LURAP1L, RGS4, and TFAP2C. Here, CEBPG is linked to periodontitis.