datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xenium_5k_pandavid_dataset_v2xenium_pandavid_dataset4humanbreast_xenium_janesick # Human Breast Cancer Xenium · Sample 1 Rep1+Rep2
Curated, ready-to-load spatial transcriptomics dataset.
## Source
- Paper: [Janesick et al., Nat. Commun. 2023](https://www.nature.com/articles/s41467-023-43458-x)
- Canonical download: cf.10xgenomics.com/samples/xenium/1.0.1/Xenium_FFPE_Human_Breast_Cancer_Rep{1,2}
## Scale
| Property | Value |
|---|---|
| Technology | 10x Genomics Xenium (313-gene panel) |
| Species | Homo sapiens |
| Tissue |… See the full description on the dataset page: https://huggingface.co/datasets/Shaow/humanbreast_xenium_janesick.Xenium_Prime_Ovarian_Cancer_FFPE_XRrun_outs_row-group-parquetData obtained from https://www.10xgenomics.com/datasets
celldega_Xenium_hCRCcelldega_Xenium_human_Pancreas_FFPE_v2Xenium_V1_human_Pancreas_FFPE_outs_row_groupsData obtained from
10X Genomics
Celldega_Xenium_Prime_Ovarian_Cancer_FFPE_XRun_outs_row_groups_image_chunkHEST_Xenium_virtual_spatial_transcriptomics
HEST Xenium virtual spatial transcriptomics
This repository contains predicted spatial transcriptomics for HEST Xenium H&E
slides produced with DeepSpot-M.
Authors: Kalin Nonchev, Sebastian Dawo, Karina Silina, Viktor Hendrik
Koelzer, and Gunnar Rätsch.
Paper: DeepSpot-M: a multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology (medRxiv, 2026; see the citation below).
Code: https://github.com/ratschlab/DeepSpotM.
News… See the full description on the dataset page: https://huggingface.co/datasets/ratschlab/HEST_Xenium_virtual_spatial_transcriptomics.xenium_pandavid_dataset5