Causality-enriched epigenetic age uncouples damage and adaptation

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu, M Moqri… - Nature aging, 2024 - nature.com
Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …
被引用次数：22 相关文章

Causality-enriched epigenetic age uncouples damage and adaptation

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu… - Nature …, 2024 - pubmed.ncbi.nlm.nih.gov
Machine learning models based on DNA methylation data can predict biological age but
often lack causal insights. By harnessing large-scale genetic data through epigenome-wide …

Causality-Enriched Epigenetic Age Uncouples Damage and Adaptation

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu, M Moqri… - bioRxiv, 2022 - biorxiv.org
Abstract Machine learning models based on DNA methylation can be used to predict the
age of biological samples, but their interpretability is limited due to the lack of causal …

Causality-enriched epigenetic age uncouples damage and adaptation.

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu… - Nature …, 2024 - europepmc.org
Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …
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[HTML][HTML] Causality-Enriched Epigenetic Age Uncouples Damage and Adaptation

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu… - Nature …, 2024 - ncbi.nlm.nih.gov
Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …

Causality-enriched epigenetic age uncouples damage and adaptation.

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu… - Nature …, 2024 - europepmc.org
Machine learning models based on DNA methylation data can predict biological age but
often lack causal insights. By harnessing large-scale genetic data through epigenome-wide …