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Article

An atlas of human histological diversity

2026-02-02

Abstract excerpt

Descriptions of tissues by histopathologists rest on verbal statements limited by quantitative inaccuracies and personal cognitive biases. Here we propose an unsupervised computational framework that transposes to histology the concepts and methods of RNA-seq gene expression analysis, setting histology on an unbiased quantitative ground. Leveraging this framework and the GTEx dataset, we built an atlas surveying t...

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Identifiers and source

Literature Corpus work
6c5e8f5c-e2f2-5aaf-a42a-6653222e2e85
DOI
10.64898/2026.01.30.702249
Open publication

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An atlas of human histological diversityDOI 10.64898/2026.01.30.702249
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