Back to search

Article

A systematic evaluation of 41 DNA methylation predictors across 101 data preprocessing and normalization strategies highlights considerable variation in algorithm performance

2021-10-01

Abstract excerpt

<h4>Background</h4> DNA methylation (DNAm) based predictors hold great promise to serve as clinical tools for health interventions and disease management. While these algorithms often have high prediction accuracy and are associated with many disease-related phenotypes, the reliability of their performance remains to be determined. We therefore conducted a systematic evaluation across 101 different data processin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1ea6f4b7-b200-5f2a-89fb-44d1e118240c
DOI
10.1101/2021.09.29.462387
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A systematic evaluation of 41 DNA methylation predictors across 101 data preprocessing and normalization strategies highlights considerable variation in algorithm performanceDOI 10.1101/2021.09.29.462387
Select a neighboring publication to make it the new centre.