Back to search

Article

Uncovering context-specific genetic-regulation of gene expression from single-cell RNA-sequencing using latent-factor models

2022-12-23

Abstract excerpt

Genetic regulation of gene expression is a complex process, with genetic effects known to vary across cellular contexts such as cell types and environmental conditions. We developed SURGE, a method for unsupervised discovery of context-specific expression quantitative trait loci (eQTLs) from single-cell transcriptomic data. This allows discovery of the contexts or cell types modulating genetic regulation without p...

Topics

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

Identifiers and source

Literature Corpus work
6bd5e2ce-5b45-5d27-8ef5-24026c6b0f3d
DOI
10.1101/2022.12.22.521678
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.
Uncovering context-specific genetic-regulation of gene expression from single-cell RNA-sequencing using latent-factor modelsDOI 10.1101/2022.12.22.521678
Select a neighboring publication to make it the new centre.