Profiling epigenetic age in single cells

This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning models.

Code associated with the findings in Duran-Ferrer, Nat Cancer 2020.

Regression models for "epigenetic clock" estimation of canine chronological age

24 epigenetic aging clocks (GrimAge V1/V2, Horvath, Hannum, PhenoAge, Ying, DunedinPoAm, DNAmTL…) as an installable, offline agent skill — pandas+numpy only.

AntiEntropy models aging as stochastic entropy drift in CpG methylation state space. It integrates ElasticNetCV clocks, site-wise Shannon entropy 𝐻 ( 𝛽 ) H(β), PCA spectral decomposition, and HRF-based resonance to quantify negentropy gradients and simulate control-driven reversal toward low-entropy attractors.

Cox survival validation of 8 DNA-methylation clocks against ~20-year NHANES mortality follow-up (n=2,532)

An R package of placental epigenetic clock to estimate aging by DNA-methylation-based gestational age

Introduction to machine learning with tidymodels

We present PathwayAge, a biologically informed, machine learning–based epigenetic clock that integrates pathway-level biological information to predict biological age and quantify disease-related aging acceleration.

computational analysis of aging biomarkers at Harvard Aging Initiative

epigenetic clock calibration

Reproducible DNA methylation aging clock pipeline with external validation and biological robustness diagnostics.

Epigenetic age prediction from DNA methylation data using elastic net regression (Horvath clock implementation)

Singapore National Precision Medicine Aging Study

Learn how epigenetic clocks work. - infographics of EpigeneticLock.com

Poster presentation at the (American Society of Human Genetics) ASHG Virtual Meeting, 2021.

Do methylation segments outperform sole CpGs? We test it on (1) epigenetic aging clocks on mouse blood with cross-dataset validation, (2) lean-vs-obese separation on human blood. We compare raw CpGs with DBSCAN, HDBSCAN, OPTICS, and ChromHMM-based clustering.

En este repositorio se encuentran los scripts utilizados para el desarrollo del Trabajo Fin de Master en Bioinformática de la Universitat de València, titulado "Edad molecular endometrial en infertilidad: relojes epigenéticos y consecuencias funcionales"

Simple Epigenetic Clock