Supplementary Figure 2: Testing NetSig across 21 tumor types

In this figure, each box illustrates the results from the tumor-specific NetSig analyses of 17 tumor types that have at least four defined driver genes (first 17 boxes) or for pan-cancer genes (last box). In each plot (for example for breast cancer [BRCA, second box]), the AUC calculated with the NetSig score corresponding to mutation burdens from the tumor in question (NetSig_BRCA) is indicated by the colored (in the case of BRCA, orange) line. The ability to distinguish BRCA driver genes using a NetSig score derived from pan-cancer data is indicated with a dark grey curve. The difference in performance using NetSig_pan-cancer and NetSig_BRCA (in this case 0.76-0.77 = - 0.01) is indicated above the plot as the differential AUC (or dAUC). In the case of BRCA the pan-cancer data is slightly better at classifying BRCA driver genes than the BRCA-specific mutation data.