Article
An Explainable AI Framework for Identifying Universal Aging Signatures in Cell Embeddings
2025-11-10
Abstract excerpt
Aging is a complex biological process marked by progressive physiological decline and increased disease vulnerability. Single-cell RNA sequencing offers unprecedented resolution for studying aging, yet isolating aging-related signatures remains challenging because gene expression is primarily shaped by other factors such as cell type, tissue, and sex. We present ACE (Aging Cell Embeddings) , an explainable deep g...
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Identifiers and source
- Literature Corpus work
- 47fef9cf-9fc2-5c37-8a28-91fdb181be72
- DOI
- 10.1101/2025.11.07.687286
