Additional file 2 of MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning

Chang Li, Degui Zhi, Kai Wang & Xiaoming Liu
Additional file 2: Includes 9 figures of additional results. The names of the figures are: Figure S1. Performance (AUC) of different methods benchmarked using the rare nsSNV test set (RNTS, test set 1); Figure S2. Performance (AUC) of different methods benchmarked using the de-novo rare ClinVar test set (DN-RCTS, test set 3); Figure S3. Performance (precision-recall curve) of different methods benchmarked using the de-novo rare ClinVar test set (DN-RCTS, test set 3); Figure S4. Performance...
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