Back to search

Article

OmniCell: Unified Foundation Modelling of Single-Cell and Spatial Transcriptomics for Cellular and Molecular Insights

2025-12-29

Abstract excerpt

A cell’s transcriptional programme is not fully defined by gene expression alone, but by the tissue context in which that programme is enacted. Single-cell RNA sequencing resolves molecular identity after dissociation, whereas spatial transcriptomics preserves tissue architecture but remains constrained by assay-specific sparsity and gene coverage. Here we present OmniCell, a tissue-contextual transcriptomic found...

Topics

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

Identifiers and source

Literature Corpus work
befce1a5-3a32-5acd-890d-55deac875399
DOI
10.64898/2025.12.29.696804
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.
OmniCell: Unified Foundation Modelling of Single-Cell and Spatial Transcriptomics for Cellular and Molecular InsightsDOI 10.64898/2025.12.29.696804
Select a neighboring publication to make it the new centre.