Biomedical Informatics at ETH Zurich
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- DeepSpot Public
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
- DeepSpot2Cell Public
DeepSpot2Cell: Predicting virtual single-cell spatial transcriptomics from H&E images using spot-level supervision
- sshash Public Forked from jermp/sshash
A compressed, associative, exact, and weighted dictionary for k-mers.
- vision-guided-transcriptomics-fm-2026 Public
Code for "Slide-level batch structure limits histology-guided supervision of transcriptomic foundation models" (bioRxiv 2026). H&E-guided refinement of Geneformer, scGPT and CancerFoundation embeddings on 10x Visium spatial transcriptomics.
- uncertainty-vst-2026 Public
Code for "Probabilistic uncertainty in virtual spatial transcriptomics from histology is largely redundant with the predicted mean" (bioRxiv 2026). Benchmark of aleatoric and epistemic uncertainty (Gaussian/Poisson/NB heads, deep ensembles, MC dropout, Laplace) for gene expression predicted from H&E on 10x Visium.
- metagraphRF Public
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