Profiling epigenetic age in single cells
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Updated
Dec 11, 2021 - Jupyter Notebook
Profiling epigenetic age in single cells
This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning models.
Code accompanying the findings in Duran-Ferrer 2020, Nat Cancer. The epiCMIT mitotic clock calculator and a Pan B-cell tumor classifier algorithm are provided.
Regression models for "epigenetic clock" estimation of canine chronological age
epigenetic clock calibration
Introduction to machine learning with tidymodels
Poster presentation at the (American Society of Human Genetics) ASHG Virtual Meeting, 2021.
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