Back to search

Article

Transfer learning identifies sequence determinants of regulatory element accessibility

2022-08-05

Abstract excerpt

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 to large input data for training. Here, we develop ChromTransfer, a transf...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3bc988d6-2da2-586d-b4a8-98d9d558254d
DOI
10.1101/2022.08.05.502903
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Transfer learning identifies sequence determinants of regulatory element accessibilityDOI 10.1101/2022.08.05.502903
Select a neighboring publication to make it the new centre.