IGLC2 and cancer: Meanwhile, the interpretability module of Cancer-Finder ranked the importance of features and identified the top ten genes (NDRG1, TAGLN, MALAT1, IGKC, IGHA1, IGHG4, IGLC2, IGHG3, SOD2 and KRT19, detailed in Supplementary Note 1 and Supplementary Fig. 8).