scPRINT-2
Next-generation single-cell foundation model pretrained on 350M+ cells across 22K+ datasets and 16 species for embeddings, denoising, annotation, gene-network inference, and cross-species transfer.
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- Computational Biology
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- 2026-10-10
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scMulan github.com
Single-cell multi-omic language model pretrained on ~10M cells spanning transcriptomics, epigenomics, and proteomics for cross-omics transfer tasks.
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DeepSpot2Cell github.com
Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).
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scBERT github.com
BERT-based foundation model pretrained on large-scale scRNA-seq data for cell type annotation.
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SCARF doi.org
Single-cell RNA+ATAC foundation model pretrained on >2.7M cells for multimodal representation, matching, cross-omics translation, and few-shot annotation.
Computational Biology › Machine Learning Tasks and Models > Foundation Models > Single-cell Foundation Models: “Next-generation single-cell foundation model pretrained on 350M+ cells across 22K+ datasets and 16 species for embeddings, denoising, annotation, gene-network inference, and cross-species transfer.”