TCGA virtual spatial transcriptomics atlas
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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- 2026-10-10
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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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DeepSpot github.com
Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.
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DeepSpot-M github.com
Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.
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Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).
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EpiFoundation doi.org
Foundation model for scATAC-seq using peak-to-gene aligned pretraining for cell representation, annotation, batch correction, and gene-expression prediction.
Computational Biology › Benchmarks & Datasets > Single-Cell & Spatial: “DeepSpot-M predicted transcriptome-wide ST for TCGA H&E (FF + FFPE; 28,664 slides / 32 cancer types; gated). Paper: DeepSpot-M.”