We also trained “multi-omics” classifiers to predict mutations in six well-studied and widely mutated driver genes across various cancer types: EGFR, IDH1, KRAS, PIK3CA, SETD2, and TP53. Each of these genes is well-predicted from several data types in our earlier experiments (Fig. 6), consistent with having strong pan-cancer driver effects. Here, TP53 is linked to cancer.