Figure 2.

DriverNet performance benchmarking with the GBM2, HGS2, and HGS2 datasets. (A-C) Concordance with Cancer Gene Census for DriverNet, Frequency-based, and Fisher-based approaches as a function of the top N ranked genes (out of 200) for the GBM2, TN2, and HGS2 datasets, respectively. (D-F) Concordance with the COSMIC database (cumulative distribution of mutation prevalence in the COSMIC database) for DriverNet, Frequency-based, and Fisher-based approaches as a function of the top N ranked genes (out of 200) for the GBM2, TN2, and HGS2 datasets, respectively. Note that for the GBM2 dataset, DriverNet nominates 113 genes as candidate drivers, therefore, the concordance of DriverNet genes with the Cancer Gene Census is plotted for the 113 candidates.

Bashashati et al. Genome Biology 2012 13:R124   doi:10.1186/gb-2012-13-12-r124
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