DeepSpot-M
Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.
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- Computational Biology
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- 2026-10-10
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DeepSpot github.com
Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.
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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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TCGA virtual spatial transcriptomics atlas huggingface.co
DeepSpot-M predicted transcriptome-wide ST for TCGA H&E (FF + FFPE; 28,664 slides / 32 cancer types; gated). Paper: DeepSpot-M.
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HEST Xenium virtual spatial transcriptomics huggingface.co
DeepSpot-M predicted transcriptome-wide ST for 59 HEST-1k 10x Xenium samples (~13.3M cells) (gated). Paper: DeepSpot-M.
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VirTues github.com
Spatial-proteomics foundation model learning marker-aware representations across proteins, cells, niches, and tissues from multiplexed imaging.
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SpatialGlue github.com
Graph attention network for spatial multi-omics integration jointly embedding spatial transcriptomics with chromatin accessibility or proteomics.
Computational Biology › Machine Learning Tasks and Models > Foundation Models > Single-cell Foundation Models: “Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.”