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Data-driven identification and classification of nonlinear aging patterns reveals the landscape of associations between DNA methylation and aging.
Daigo Okada
Jian Hao Cheng
Cheng Zheng
Tatsuro Kumaki
Ryo Yamada
Published in:
Human genomics (2023)
DICNAP was able to identify the potential patterns of the changes in the landscape of DNA methylation during aging. It contributes to an improvement in our theoretical understanding of the aging process.
Keyphrases
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dna methylation
gene expression
genome wide
machine learning
deep learning
climate change