snRNA-seq aging clock for the Drosophila head. Companion code for Tennant et al., Scientific Reports (2026, in press).

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.

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

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.