Back to search

Article

EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networks

2023-12-23

Abstract excerpt

<h4>Motivation</h4> Transcriptional enhancers — unlike promoters — are unrestrained by distance or strand orientation with respect to their target genes, making their computational identification a challenge. Further, there are insufficient numbers of confirmed enhancers for many cell types, preventing robust training of machine-learning-based models for enhancer prediction for such cell types. <h4>Results</h4>...

Topics

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

Identifiers and source

Literature Corpus work
c9eba850-501a-5d01-b90e-e80bf649dbe5
DOI
10.1101/2023.12.23.573198
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.
EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networksDOI 10.1101/2023.12.23.573198
Select a neighboring publication to make it the new centre.