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Figure 1 | BMC Genomics

Figure 1

From: Identifying Mendelian disease genes with the Variant Effect Scoring Tool

Figure 1

VEST Classifier performance. Receiver Operating Characteristic (left) and precision-recall curve (right) for VEST were constructed using 5-fold gene holdout cross validation on the VEST training set. The AUC statistics for these two curves were both 0.92 indicating that the VEST classifier has good sensitivity and specificity for identifying mutations with functional consequences for protein activity.

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