Developing deep learning models to understand the human genome

Northwestern Medicine scientists have developed a deep learning algorithm capable of identifying the location where a genetic process called polyadenylation occurs on the genome, according to findings published in Nature Communications. Investigators say the development has the potential to accelerate research around diseases and disorders that occur when the process of DNA transcription goes awry.