Back to search

Article

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator

2022-04-03

Abstract excerpt

The field of epigenomics holds great promise in understanding and treating disease with advances in machine learning (ML) and artificial intelligence being vitally important in this pursuit. Increasingly, research now utilises DNA methylation measures at cytosine-guanine dinucleotides (CpG) to detect disease and estimate biological traits such as aging. Given the high dimensionality of DNA methylation data, featur...

Topics

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

Identifiers and source

Literature Corpus work
bf9a7fb4-3bf6-5b0b-be72-b3f6421ee21f
DOI
10.1101/2022.04.02.486242
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 comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimatorDOI 10.1101/2022.04.02.486242
Select a neighboring publication to make it the new centre.