Back to search

Article

An attention-based deep neural network model to detect cis-regulatory elements at the single-cell level from multi-omics data

2024-10-22

Abstract excerpt

Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cell differentiation and state transitions. To capture the heterogeneous transitions of cell states associated with these processes, detecting cRE activity at the single-cell level is essential. However, current analytical methods can only capture the average behavior of cREs in cell populations, thereby obscuring cell...

Topics

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

Identifiers and source

Literature Corpus work
9253f89c-537a-5c09-b7ae-65a8e09f53c6
DOI
10.1101/2024.10.20.619317
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.
An attention-based deep neural network model to detect cis-regulatory elements at the single-cell level from multi-omics dataDOI 10.1101/2024.10.20.619317
Select a neighboring publication to make it the new centre.