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Transfer learning reveals sequence determinants of regulatory element accessibility

By Marcella Salvatore and others at
LogoUniversity of Copenhagen
Dysfunction of regulatory elements through genetic variants is a central mechanism in the pathogenesis of disease. To better understand disease etiology, there is consequently a need to understand how DNA encodes regulatory activity. Deep learning methods show great promise for modeling of biomolecular data from DNA sequence but are limited... Show more
March 29, 2023
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Transfer learning reveals sequence determinants of regulatory element accessibility
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