VEPerform: a web resource for evaluating the performance of variant effect predictors
Journal:
arXiv
Published Date:
Dec 13, 2024
Abstract
Computational variant effect predictors (VEPs) are providing increasingly
strong evidence to classify the pathogenicity of missense variants. Precision
vs. recall analysis is useful in evaluating VEP performance, especially when
adjusted for imbalanced test sets. Here, we describe VEPerform, a web-based
tool for evaluating the performance of VEPs at the gene level using balanced
precision vs. recall curve (BPRC) analysis.
