Article

Identifying Key Cells for Fibrosis by Systematically Calling Cell Type–Phenotype Associations across Massive Heterogenous Datasets

2025-03-25

Abstract excerpt

<h4>Summary</h4> Fibrotic diseases pose a significant burden on health care, yet the key pathogenic fibroblasts involved remain unclear. We developed the fibrotic disease fibroblast atlas (FDFA), which comprises 394 single-cell and 38 spatial transcriptomic samples from 11 common fibrotic diseases. To perform a cell-type phenotype association study in large-scale heterogeneous datasets, we developed the single-ce...

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Literature Corpus work: a49f5f8f-cab1-5acc-989d-df9365b2b78a
DOI: 10.1101/2025.03.23.644786

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