Article

Benchmarking single-cell foundation models in a zero-shot setting

2026-08-07

Abstract excerpt

Single-cell foundation models have recently emerged as a promising approach for learning general- purpose representations from large-scale transcriptomic data. These models are trained on millions of cells and are designed to transfer their learned representations to a wide range of downstream tasks. However, their practical benefits compared to traditional approaches are still not fully understood. This study eva...

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Literature Corpus work: 3fe9e564-f3af-56ce-accf-5b8edd81b8e0
DOI: 10.64898/2026.08.03.739553

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