Article

Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

2019-09-08

Abstract excerpt

Genome-wide association analyses have uncovered multiple genomic regions associated with T2D, but identification of the causal variants at these remains a challenge. There is growing interest in the potential of deep learning models - which predict epigenome features from DNA sequence - to support inference concerning the regulatory effects of disease-associated variants. Here, we evaluate the advantages of traini...

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Literature Corpus work: a4a6e4ce-a7b5-55ae-b885-72ec8242ec92
DOI: 10.1101/760868

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