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

Published Online: 2026-04-04

Authors

Xie, Gangcai
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (31900484)

Natural Science Foundation of Jiangsu Province (BK20190924)

Jiangsu Innovative and Entrepreneurial Research Team Program (JSSCTD202348)
License Information

Text and Data Mining valid from 2026-04-04

Accepted Manuscript valid from 2026-04-04
More Information

Article History

Received: 27 October 2025

Accepted: 24 March 2026

First Online: 4 April 2026

Competing interests

: The author declares no competing interests.

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