Wesolowska-Andersen, Agata <br/><br/>
Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals.  [electronic resource] 

 -  eLife  01 2020 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>2050-084X 
<br/><br/><label>Standard No.: </label>10.7554/eLife.51503  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Chromatin--metabolism<br/>Deep Learning<br/>Diabetes Mellitus, Type 2--genetics<br/>Epigenomics<br/>Genetic Predisposition to Disease<br/>Genome-Wide Association Study<br/>Humans<br/>Islets of Langerhans--metabolism<br/>Models, Theoretical<br/>Polymorphism, Single Nucleotide<br/>Signal Transduction