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

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Bibliographic Details
Title: scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.
Authors: Xie G; Institute of Reproductive Medicine, Medical School, Nantong University, Nantong, China. gangcai@ntu.edu.cn.; Jiangsu Province Key Laboratory in University for Inflammation and Molecular Drug Target, Nantong University, Nantong, China. gangcai@ntu.edu.cn.
Source: Npj aging [NPJ Aging] 2026 Apr 04; Vol. 12 (1). Date of Electronic Publication: 2026 Apr 04.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 9918402285106676 Publication Model: Electronic Cited Medium: Internet ISSN: 2731-6068 (Electronic) Linking ISSN: 27316068 NLM ISO Abbreviation: NPJ Aging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2731-6068
DOI:10.1038/s41514-026-00379-5