Article

Stack: In-Context Learning of Single-Cell Biology

2026-01-09

Abstract excerpt

Foundation models trained on single-cell transcriptomic data offer the promise of identifying and predicting the diversity of cellular phenotypes across species, diseases, and other biological conditions. However, the current models are limited to their supervised training conditions and tasks, which limits their utility for biological discovery. Here, we present STACK, a foundation model trained on 149 million un...

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Literature Corpus work: 4c793f4a-d525-572b-9949-e44f511ed85e
DOI: 10.64898/2026.01.09.698608

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