Back to search

Article

Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework

2021-08-24

Abstract excerpt

With the ever-increasing amount of single-cell multi-omics data accumulated during the past years, effective and efficient computational integration is becoming a serious challenge. One major obstacle of unpaired multi-omics integration is the feature discrepancies among omics layers. Here, we propose a computational framework called GLUE (graph-linked unified embedding), which utilizes accessible prior knowledge...

Topics

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

Identifiers and source

Literature Corpus work
c00d66b4-348e-5116-8833-ce7446bec3fd
DOI
10.1101/2021.08.22.457275
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.
Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding frameworkDOI 10.1101/2021.08.22.457275
Select a neighboring publication to make it the new centre.