Back to search

Article

Sensitive cluster-free differential expression testing.

2023-03-10

Abstract excerpt

Comparing molecular features, including the identification of genes with differential expression (DE) between conditions, is a powerful approach for characterising disease-specific phenotypes. When testing for DE in single-cell RNA sequencing data, current pipelines first assign cells into discrete clusters (or cell types), followed by testing for differences within each cluster. Consequently, the sensitivity and...

Topics

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

Identifiers and source

Literature Corpus work
d2669207-f52a-5669-b286-372125b32572
DOI
10.1101/2023.03.08.531744
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.
Sensitive cluster-free differential expression testing.DOI 10.1101/2023.03.08.531744
Select a neighboring publication to make it the new centre.