Deep Learning-Based Method Predicts Non-Coding Mutation Effects, Disease Risk

New York (GenomeWeb) – Researchers from Princeton University and the Flatiron Institute's Center for Computational Biology have developed a deep learning approach that they say can predict the effects of genetic variants in noncoding regions on gene expression in specific tissues as well as on disease risk.