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

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

[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.

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.

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

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

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