DeepQA: A Unified Transcriptome‐Based Aging Clock Using Deep Neural Networks

• Published in: Aging cell Vol. 24; no. 5; pp. e14471 - n/a
• Main Authors: Qi, Hongqian, Zhao, Hongchen, Li, Enyi, Lu, Xinyi, Yu, Ningbo, Liu, Jinchao, Han, Jianda
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.05.2025; John Wiley and Sons Inc
• Subjects: Age; Age determination; Aging; Aging - genetics; Biomarkers; Deep learning; DNA methylation; Gene expression; Gene Expression Profiling - methods; Humans; Learning algorithms; Machine Learning; Mortality; Neural networks; Neural Networks, Computer; Protocol; Transcriptome - genetics; Transcriptomes

ABSTRACT Understanding the complex biological process of aging is of great value, especially as it can help develop therapeutics to prolong healthy life. Predicting biological age from gene expression data has shown to be an effective means to quantify aging of a subject, and to identify molecular a...