ArticleBioinformatics (Oxford, England)2020
The Epigenetic Pacemaker: modeling epigenetic states under an evolutionary framework.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- An epigenetic clock for chronological age estimation in East Asian populations.NAR genomics and bioinformatics · 2026Article
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- DNA methylation clock in bull sperm cells reveals the epigenetic aging characteristics and impact on fertility.Journal of animal science and biotechnology · 2026Article
- Determining the age of single cells using scMLEAge.bioRxiv : the preprint server for biology · 2026Article
- MicroBayesAge: a maximum likelihood approach to predict epigenetic age using microarray data.GeroScience · 2026Article
- The Multi-State Epigenetic Pacemaker enables the identification of combinations of factors that influence DNA methylation.GeroScience · 2025Article
- An epigenetic human cytomegalovirus infection score predicts viremia risk in seropositive lung transplant recipients.Epigenetics · 2024Article
- Fundamental equations linking methylation dynamics to maximum lifespan in mammals.Nature communications · 2024Article
- BayesAge: A maximum likelihood algorithm to predict epigenetic age.Frontiers in bioinformatics · 2024Article
- Editorial: Computational methods for analysis of DNA methylation data, volume II.Frontiers in bioinformatics · 2024Article
- Epigenetic aging in cows is accelerated by milk production.Epigenetics · 2023Article
- Identifying epigenetic aging moderators using the epigenetic pacemaker.Frontiers in bioinformatics · 2023Article
- The effects of age, sex, weight, and breed on canid methylomes.Epigenetics · 2022Article
- Hibernation slows epigenetic ageing in yellow-bellied marmots.Nature ecology & evolution · 2022Article
- Article
- Association of DNA methylation with energy and fear-related behaviors in canines.Frontiers in psychology · 2022Article
- Epigenetic models developed for plains zebras predict age in domestic horses and endangered equids.Communications biology · 2021Article
- Estimage: a webserver hub for the computation of methylation age.Nucleic acids research · 2021Article
- Increased Rate of Epigenetic Aging in Men Living With HIV Prior to Treatment.Frontiers in genetics · 2021Article
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3 authors.
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Abstract
summaryEpigenetic rates of change, much as evolutionary mutation rate along a lineage, vary during lifetime. Accurate estimation of the epigenetic state has vast medical and biological implications. To account for these non-linear epigenetic changes with age, we recently developed a formalism inspired by the Pacemaker model of evolution that accounts for varying rates of mutations with time. Here, we present a python implementation of the Epigenetic Pacemaker (EPM), a conditional expectation maximization algorithm that estimates epigenetic landscapes and the state of individuals and may be used to study non-linear epigenetic aging. AVAILABILITY AND IMPLEMENTATION: The EPM is available at https://pypi.org/project/EpigeneticPacemaker/ under the MIT license. The EPM is compatible with python version 3.6 and above.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.