Biomedical Informatics at ETH Zurich
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- projects2026-kidney-kpmp-analysis Public
Analysis code for "Virtual spatial transcriptomics links kidney histopathology to disease-associated molecular programs": DeepSpot-M predicts 19,338 genes from H&E whole-slide images of 1,534 KPMP kidney biopsies, validated with Visium, Xenium and rat kidney injury data.
- WiNN-for-technical-correction Public
Repository accompanying the WiNN paper, containing reproducible analysis notebooks for the simulation benchmark and public multi-batch dataset, together with code to reproduce benchmarking results, supplementary analyses, and figure/table generation for the manuscript.
- metagraphRF Public
- writing-rules Public
Shared Vale writing rules with per-project configuration and source-string adapters
- readfish Public Forked from LooseLab/readfish
CLI tool for flexible and fast adaptive sampling on ONT sequencers
- DeepSpot Public
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
- aestetik Public
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data