TRIM33 and myositis disease: employed various ML techniques, including Sankey diagrams, elastic net, RF, multidimensional scaling and hierarchical clustering, to categorize subtypes of anti-TIF1-γ+ myositis and assess the most critical factors for predicting cancer risk [46].