Figure 4
From: Collective judgment predicts disease-associated single nucleotide variants
Meta-SNP is more accurate in predicting disease-associated nsSNVs than all of its components for all data sets. (A) Receiver operating characteristic (ROC) curves for all the prediction algorithms show that Meta-SNP is a better predictor than all of its component methods. (B) Of all subsets of SV-2009, however, Meta-SNP performs best on the Consensus set, followed by Majority and Tie subsets.