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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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Literature Corpus work
47fef9cf-9fc2-5c37-8a28-91fdb181be72
DOI
10.1101/2025.11.07.687286
Open publication

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An Explainable AI Framework for Identifying Universal Aging Signatures in Cell EmbeddingsDOI 10.1101/2025.11.07.687286
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