Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation

OBJECTIVE: We aimed to screen out biomarkers for atrial fibrillation (AF) based on machine learning methods and evaluate the degree of immune infiltration in AF patients in detail. METHODS: Two datasets (GSE41177 and GSE79768) related to AF were downloaded from Gene expression omnibus (GEO) database...

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Detalles Bibliográficos
Autores principales: Wu, Li-Da, Li, Feng, Chen, Jia-Yi, Zhang, Jie, Qian, Ling-Ling, Wang, Ru-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934464/
https://www.ncbi.nlm.nih.gov/pubmed/35305619
http://dx.doi.org/10.1186/s12920-022-01212-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934464/
https://www.ncbi.nlm.nih.gov/pubmed/35305619
http://dx.doi.org/10.1186/s12920-022-01212-0

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