Back to search

Article

scSTAR2: a multiomics integration algorithm to reveal disease-specific cellular signatures by bridging single-cell resolution features and clinical metadata

2025-08-15

Abstract excerpt

Single-cell techniques, pivotal in characterizing intricate cell and spatial structures within tissues, face challenges in contextualizing clinical phenotypes. Currently, most investigations of the clinical phenotype related cell/spatial heterogeneities relied on the phenotype information from single-cell data. However, a wealth of underutilized clinical metadata exists within conventional bulk sequencing data. Cu...

Topics

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

Identifiers and source

Literature Corpus work
347b07a7-6e99-5fba-ad49-3f2e1be1e834
DOI
10.1101/2025.08.12.669818
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.
scSTAR2: a multiomics integration algorithm to reveal disease-specific cellular signatures by bridging single-cell resolution features and clinical metadataDOI 10.1101/2025.08.12.669818
Select a neighboring publication to make it the new centre.