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DeepSpot-M

github.comtool

Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.

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Computational Biology
added
2026-10-10
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  1. DeepSpot github.com

    Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.

  2. DeepSpot2Cell github.com

    Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).

    tool link ↗
  3. 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.

    site link ↗
  4. 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.

    site link ↗
  5. VirTues github.com

    Spatial-proteomics foundation model learning marker-aware representations across proteins, cells, niches, and tissues from multiplexed imaging.

    tool link ↗
  6. SpatialGlue github.com

    Graph attention network for spatial multi-omics integration jointly embedding spatial transcriptomics with chromatin accessibility or proteomics.

    tool link ↗

Computational Biology › Machine Learning Tasks and Models > Foundation Models > Single-cell Foundation Models: “Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.”