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MicroBayesAge: A Maximum Likelihood Approach to Predict Epigenetic Age Using Microarray Data

2024-10-06

Abstract excerpt

Certain epigenetic modifications, such as the methylation of CpG sites, can serve as biomarkers for chronological age. Previously, we introduced our BayesAge frameworks for accurate age prediction through the use of locally weighted scatterplot smoothing (LOWESS) to capture the non-linear relationship between methylation or gene expression and age, and Maximum Likelihood Estimation (MLE) for bulk bisulfite and RNA...

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Literature Corpus work
8cc72a9d-e916-5e81-aa26-e94e5abcb935
DOI
10.1101/2024.10.04.616756
Open publication

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MicroBayesAge: A Maximum Likelihood Approach to Predict Epigenetic Age Using Microarray DataDOI 10.1101/2024.10.04.616756
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