Back to search

Article

Isolating structured salient variations in single-cell transcriptomic data with StrastiveVI

2023-10-10

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) has provided deeper insights into biological processes by highlighting differences at the cellular level. Within these single-cell omics measurements, researchers are often interested in identifying variations associated with a specific covariate. For instance, in aging research, it becomes vital to differentiate variations related to aging. To address this, we introduce Stra...

Topics

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

Identifiers and source

Literature Corpus work
ea6e95e2-bbe3-5ce8-92e7-745aad175d44
DOI
10.1101/2023.10.06.561320
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.
Isolating structured salient variations in single-cell transcriptomic data with StrastiveVIDOI 10.1101/2023.10.06.561320
Select a neighboring publication to make it the new centre.