ratschlab/HEST_Visium_virtual_single_cell_transcriptomics
HEST-1k Visium virtual single-cell spatial transcriptomics Predicted virtual single-cell gene expression for HEST-1k Visium samples, produced with DeepSpot2Cell. DeepSpot2Cell is a Deep Sets model that predicts transcriptomic profiles at single-cell resolution from H&E images and CellViT cell segmentations, trained with spot-level Visium supervision only (no single-cell ground truth). At inference every detected cell in each Visium spot receives its own predicted expression… See the full description on the dataset page: https://huggingface.co/datasets/ratschlab/HEST_Visium_virtual_single_cell_transcriptomics.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face