These algorithms, including support vector machines and random forests, can classify proteins based on their expression levels, predict potential biomarkers, and facilitate the understanding of immunogenicity for anti-tumor necrosis factor (TNF)-αbiological therapy in patients with rheumatoid arthritis. The gene discussed is TNF; the disease is rheumatoid arthritis.