Open-source longevity sport platform with biological-age calculators, athlete profiles, and public leaderboards.

snRNA-seq aging clock for the Drosophila head. Companion code for Tennant et al., Scientific Reports (2026). doi:10.1038/s41598-026-48613-0

R/Python code for comparative retinal aging single-cell and spatial transcriptomics analysis

PODE decomposes retinal age-clock residuals to study disease-associated systemic heterogeneity in human aging.

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

A leakage-free DNA-methylation age clock, benchmarked honestly against published clocks (Horvath/Hannum/PhenoAge) with a failure-mode write-up.

Following Horvath epigenetic clock published in 2013, using SHAP to select top 100 CpG loci, with SHAP not just the final interpretation

Multi-tissue transcriptomic aging clock using GTEx RNA-seq data

This repository contains a Jupyter notebook that benchmarks eight established epigenetic aging clocks across two publicly available DNA methylation datasets using the Bio-Learn open-source library.

[AAAI FSS 2024] Deep learning framework for biological age prediction from DNA methylation data with preprocessing, CpG feature selection, model training, evaluation, and visualization pipeline.

GSE280465 EPICv2 DNA methylation resource for Bioconductor ExperimentHub. DOI: 10.5281/zenodo.21200585