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Table 4 Comparison of cancer driver variant predictors on the DRGN benchmark, with weighting of the predictions of the variants on each gene in function of the likelihood of Gi to host predominantly positive or negative samples. The last column shows the AUC drop with respect the EXPDRV+ALL data set in Table 2

From: Current cancer driver variant predictors learn to recognize driver genes instead of functional variants

Method AUC AUPRC AUC drop
ParsSNP 52.9 52.3 34.0
CanDrA v+ 51.7 52.1 35.4
Chasm 3.1 64.5 61.4 26.6
CHASMplus 59.2 57.9 35.1
TransFIC 57.5 54.8 10.5
FATHMM Cancer 57.6 54.7 33.4
DummyLogOdd 50.0 50.0 48.1