VEST (Variant Effect Scoring Tool) is a machine learning method that predicts the pathogenicity of missense and insertion/deletion variants observed through genome sequencing, allowing them to be prioritized in subsequent functional studies.
https://karchinlab.org/apps/appVest.html
