Cargando…
D4Z4 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 D4Z4 regions (DR1 and DUX4-PAS) were assessed by an in-house protocol based on bisulfite s...
Autores principales: | Caputo, Valerio, Megalizzi, Domenica, Fabrizio, Carlo, Termine, Andrea, Colantoni, Luca, Bax, Cristina, Gimenez, Juliette, Monforte, Mauro, Tasca, Giorgio, Ricci, Enzo, Caltagirone, Carlo, Giardina, Emiliano, Cascella, Raffaella, Strafella, Claudia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777431/ https://www.ncbi.nlm.nih.gov/pubmed/36552879 http://dx.doi.org/10.3390/cells11244114 |
Ejemplares similares
-
Update on the Molecular Aspects and Methods Underlying the Complex Architecture of FSHD
por: Caputo, Valerio, et al.
Publicado: (2022) -
Whole exome sequencing highlights rare variants in CTCF, DNMT1, DNMT3A, EZH2 and SUV39H1 as associated with FSHD
por: Strafella, Claudia, et al.
Publicado: (2023) -
Relationship between Nutrition, Lifestyle, and Neurodegenerative Disease: Lessons from ADH1B, CYP1A2 and MTHFR
por: Barati, Shila, et al.
Publicado: (2022) -
The variability of SMCHD1 gene in FSHD patients: evidence of new mutations
por: Strafella, Claudia, et al.
Publicado: (2019) -
Investigation of Genetic Variations of IL6 and IL6R as Potential Prognostic and Pharmacogenetics Biomarkers: Implications for COVID-19 and Neuroinflammatory Disorders
por: Strafella, Claudia, et al.
Publicado: (2020)