Regression model for chronological age based on epigenetic data

Leonardo Garma

Data Scientist
ML Engineer
Data Analyst
Python
scikit-learn
seaborn
In this scientific project, I built a new model to predict the chronological age of subjects using whole blood DNA methylation data.
I mined and processed data from public repositories to build large, heterogenous datasets for model training, testing and validation.
Using Python and the scikit-learn library, I built regularized regression models which ended up performing on par with state-of-the-art approaches.
You can read the whole story on the pre-print linked below.
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