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

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

Abstract 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) d...

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Bibliographic Details
Main Authors: Li-Da Wu, Feng Li, Jia-Yi Chen, Jie Zhang, Ling-Ling Qian, Ru-Xing Wang
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Medical Genomics
Subjects:
Atrial fibrillation
Immune infiltration
Biomarker
CIBERSORT
Diagnostic biomarker
Online Access:https://doi.org/10.1186/s12920-022-01212-0

Internet

https://doi.org/10.1186/s12920-022-01212-0

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