UCE (Stanford SNAP, Nature 2024)
github.com/snap-stanford/uceUniversal Cell Embeddings: zero-shot single-cell foundation model pretrained on 36M cells across 11M species, learning cross-species gene function representations via a protein-language-model-informed token space; enables zero-shot cell type annotation, embedding, and integration of unseen datasets and species without fine-tuning (338+ stars, MIT License)
Sourced from
- GitHub — github.com/snap-stanford/uce
- Awesome AI for Science — github.com/snap-stanford/uce
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