The second approach involves machine learning algorithms, which are increasingly used for the automatic recognition of patients with various disorders, such as in diagnostics of cancer based on plasma denaturation profiles, or diagnostics of glaucoma by metabolomic changes in TF [16,27]. The gene discussed is TF; the disease is cancer.