Published February 25, 2026 | Version v1

HistoGWAS-dataset

  • 1. ROR icon Helmholtz Munich

Description

This dataset contains histology image embeddings derived from whole-slide images across 11 human tissues analyzed in the HistoGWAS study. Whole-slide images were tiled into patches at 192 µm spatial resolution, and patch-level embeddings were extracted using a pretrained RetCCL encoder. The embeddings were used for downstream genetic association analyses and visualization of genotype-associated phenotypic variation. The dataset also includes corresponding highly variable gene expression matrices for the same tissues to enable integrated multimodal analyses of tissue morphology and gene expression.

Files

gene_expression.zip

Files (27.6 GB)

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109.4 MB Preview Download
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md5:ce3181a4694b1719a5e6a4d941aff7fb
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md5:e6bdcc23d2bda8c9ca30c6f7e61fa200
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Additional details

Related works

Cites
Software: 10.5281/zenodo.17280218 (DOI)