Article

scAgeClock: a single-cell transcriptome based human aging clock model using gated multi-head attention neural networks

2025-09-03

Abstract excerpt

<h4>ABSTRACT</h4> Aging Clock models have emerged as a crucial tool for measuring biological age, with significant implications for anti-aging interventions and disease risk assessment. However, human aging clock models that offer single-cell resolution and account for cell and tissue heterogeneities remain underdeveloped. This study introduces scAgeClock, a novel gated multi-head attention (GMA) neural network-b...

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Literature Corpus work: be0307e2-357a-57d9-9651-ce1afdd1307b
DOI: 10.1101/2025.08.29.673183

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