Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies.

Abstract excerpt

Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised nsSNVs (nonsynonymous Single Nucleotide Variations) in theoretical and medical applications. Lately, several meta-estimators have been proposed that combine different predictors, such as PolyPhen and SIFT, to integrate more information in a single score. Although many advances have been made in feature design and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Exome
• Share to Internet
• Share to Machine Learning