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Article

Tissueformer: extending single-cell foundation models to predict population-level phenotypes.

BMC bioinformatics - 4 Jun 2026

Benjamin Ari S, Zador Anthony

Abstract excerpt

BACKGROUND: Single-cell RNA sequencing technologies have enabled unprecedented insights into gene expression and opened new pathways for diagnostics and tissue annotation. At present, most computational approaches for interpreting single-cell data predict labels or properties based on isolated single-cell transcriptomic profiles. This approach overlooks the cellular composition within a sample, which is often...

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Identifiers

PMID: 42243667
DOI: 10.1186/s12859-026-06490-4
PMCID: PMC13466306

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