An information-theoretic framework for DNA methylation dynamics combined with nonlinear machine learning is introduced to develop a competitive and interpretable age predictor and the Stacy Gradient Boosting Clock (Stacy-GB), which combines this GGD-based representation with a LightGBM regressor.
This work constructed a heterogeneous stacked ensemble survival model based on DNAm data obtained from the Framingham Heart Study and constructed a survival prediction model based on the fusion of five complementary survival models by means of a neural network meta-learner.
Muthukumar Yugan Gogul, Karthikeyan A. Vijayakumar, Gwang-Won Cho· Mechanisms of Ageing and Dev...· 0 citations
Cumulative mitotic history showed a stronger association with epigenetic noise than chronological age, explaining most of its variance particularly within CpG-rich regulatory regions, while genomic context modulates regional vulnerability to methylation information loss during aging.
A. Peñarroya, J. J. Alba-Linares, R. F. Pérez et al.· bioRxiv· 0 citations
A set of cell type-specific and all-cell aging clocks built from snATAC-seq profiles of the prefrontal cortex of 357 human donors, which generalize to accurately predict age across brain regions and species and reveal the regulatory elements, genes, pathways, and motifs underlying these signals across species, disease,...
Patrick Z. Yu, Dou-Dou Yu, Yao Xue et al.· bioRxiv· 0 citations
Epigenetic clocks estimate age and aging-related phenotypes from DNA methylation at selected CpG sites, but the extent to which these inputs are influenced by germline genetic variation is unclear. Because methylation at many CpGs is genetically regulated, some between-person variation in clock estimates may reflect in...
Epigenetic clocks are widely applied biomarkers of biological age, but their biological underpinnings remain unclear. We previously showed that epigenetic clocks are affected by naïve and memory T cell proportions, suggesting blood cell composition as a potential driver. However, analysis of cell composition is complic...
Thomas H. Jonkman, Anne Richmond, R. Marioni et al.· Genome Medicine· 0 citations
Age-stratified subsampling preserved the main AA patterns, suggesting that chronological-age differences did not explain the observed tumor–normal differences, and highlight broad cancer-associated alterations in epigenetic aging together with substantial cancer type- and clock-specific heterogeneity.
S. Sereshki, S. Lonardi· bioRxiv· 0 citations
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