Back to search

Article

Capturing large genomic contexts for accurately predicting enhancer-promoter interactions

2021-09-06

Abstract excerpt

Accurately identifying enhancer-promoter interactions (EPIs) is challenging because enhancers usually act on the promoters of distant target genes. Although a variety of machine learning and deep learning models have been developed, many of them are not designed to or could not be well applied to predict EPIs in cell types different from the training data. In this study, we develop the TransEPI model for EPI predi...

Topics

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

Identifiers and source

Literature Corpus work
dd7b490d-158e-5340-a8ea-61236b5be9b2
DOI
10.1101/2021.09.04.458817
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.
Capturing large genomic contexts for accurately predicting enhancer-promoter interactionsDOI 10.1101/2021.09.04.458817
Select a neighboring publication to make it the new centre.