Subsequently, using machine learning methods, we selected 11 core genes related to RA and finally identified five biomarkers (ABCC4, S100A8, VAMP2, PIM2, and ISG20) through expression verification and ROC analysis. Here, ABCC4 is linked to rheumatoid arthritis.