Back to search

Article

Atlas-Level Single-Cell and Spatial Transcriptomics Data Integration via PRIME

2026-05-23

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have enabled atlas-scale cellular cartography, with consortium efforts now assembling millions of cells across diverse tissues, donors, and technologies to build comprehensive references for cell identify and disease mechanism, yet the scientific value of these atlases hinges on robust computational integration across heterogeneous data source...

Topics

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

Identifiers and source

Literature Corpus work
6d3b2d96-fd9c-5db7-9b83-411184ca01bc
DOI
10.64898/2026.05.20.726698
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.
Atlas-Level Single-Cell and Spatial Transcriptomics Data Integration via PRIMEDOI 10.64898/2026.05.20.726698
Select a neighboring publication to make it the new centre.