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
An R package of placental epigenetic clock to estimate aging by DNA-methylation-based gestational age
Introduction to machine learning with tidymodels
Poster presentation at the (American Society of Human Genetics) ASHG Virtual Meeting, 2021.
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