HEST Xenium virtual spatial transcriptomics
DeepSpot-M predicted transcriptome-wide ST for 59 HEST-1k 10x Xenium samples (~13.3M cells) (gated). Paper: DeepSpot-M.
- from
- Computational Biology
- added
- 2026-10-10
- likes
- 0
similar
-
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.
-
DeepSpot github.com
Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.
-
DeepSpot2Cell github.com
Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).
-
DeepSpot-M github.com
Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.
-
Spotiflow github.com
A deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method developed for spatial transcriptomics workflows.
-
Tahoe-100M huggingface.co
Giga-scale single-cell perturbation atlas with >100 million profiles from 50 cancer cell lines exposed to ~1,100 small molecules.
Computational Biology › Benchmarks & Datasets > Single-Cell & Spatial: “DeepSpot-M predicted transcriptome-wide ST for 59 HEST-1k 10x Xenium samples (~13.3M cells) (gated). Paper: DeepSpot-M.”