Back to search

Article

Differential Expression Analysis for Longitudinal Single-Cell RNA-Sequencing Studies Using REBEL

2026-05-11

Abstract excerpt

Longitudinal scRNA-seq experiments offer a powerful approach for dissecting temporal gene expression dynamics in individual cell types. However, few methods have been developed specifically to address the unique statistical challenges of repeated measures in scRNA-seq data. Here, we introduce a novel method, REBEL (Repeated measures Empirical Bayes differential Expression analysis using Linear mixed models), for a...

Topics

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

Identifiers and source

Literature Corpus work
dfa2549a-930c-59a6-9143-976274068dc9
DOI
10.64898/2026.05.06.723139
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.
Differential Expression Analysis for Longitudinal Single-Cell RNA-Sequencing Studies Using REBELDOI 10.64898/2026.05.06.723139
Select a neighboring publication to make it the new centre.