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 method predict non-coding mutation effect


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

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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.