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Ageing Research Reviews|August 27, 2022
An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer's diseaseMaxim N Shokhirev, Adiv A JohnsonGeroscience|August 10, 2025
Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologiesMaxim N Shokhirev, Adiv A JohnsonGeroscience|March 6, 2025
Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAgeMaxim N Shokhirev, Adiv A JohnsonAgeing Research Reviews|July 22, 2025
Demystifying common DNA methylation sites that promote the ability of CheekAge to associate with health and diseaseAdiv A Johnson, Maxim N ShokhirevBiogerontology|June 18, 2025
First-generation versus next-generation epigenetic aging clocks: Differences in performance and utilityAdiv A Johnson, Maxim N ShokhirevExpert Review of Molecular Diagnostics|June 19, 2026
Explainable epigenetic aging clocks: an overview of existing AI models and approachesAdiv A Johnson, Maxim N ShokhirevAging Cell|December 18, 2020
Modeling the human aging transcriptome across tissues, health status, and sexMaxim N Shokhirev, Adiv A JohnsonRejuvenation Research|September 6, 2021
Pan-Tissue Aging Clock Genes That Have Intimate Connections with the Immune System and Age-Related DiseaseAdiv A Johnson, Maxim N ShokhirevFrontiers in Genetics|October 17, 2025
Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factorsMaxim N Shokhirev, Adiv A JohnsonAging Cell|October 11, 2024
Contextualizing aging clocks and properly describing biological ageAdiv A Johnson, Maxim N ShokhirevPageof 11