E-SNPs&GO is a machine-learning method for predicting the pathogenicity of human variations. E-SNPs&GO classify input variations into pathogenic or benign.
For details on the underlying method please see the Methods page.
For a tutorial on how to use the web server please see the Help page.
E-SNPs&GO Bioinformatics paper is available here.
E-SNPs&GO is part of the Bioinformatics Sweeties collection.