<i>D4Z4</i> Methylation Levels Combined with a Machine Learning Pipeline Highlight Single CpG Sites as Discriminating Biomarkers for FSHD Patients

<i>D4Z4</i> Methylation Levels Combined with a Machine Learning Pipeline Highlight Single CpG Sites as Discriminating Biomarkers for FSHD Patients

The study describes a protocol for methylation analysis integrated with Machine Learning (ML) algorithms developed to classify Facio-Scapulo-Humeral Dystrophy (FSHD) subjects. The DNA methylation levels of two <i>D4Z4</i> regions (DR1 and <i>DUX4</i>-PAS) were assessed by an...

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Bibliographic Details
Main Authors: Valerio Caputo, Domenica Megalizzi, Carlo Fabrizio, Andrea Termine, Luca Colantoni, Cristina Bax, Juliette Gimenez, Mauro Monforte, Giorgio Tasca, Enzo Ricci, Carlo Caltagirone, Emiliano Giardina, Raffaella Cascella, Claudia Strafella
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Cells
Subjects:
FSHD
epigenetics
DNA methylation
neuromuscular diseases
biomarker
machine learning
Online Access:https://www.mdpi.com/2073-4409/11/24/4114

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