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

[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.

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

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

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.

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

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