Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis

Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis

ObjectiveThis study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms.MethodsMicroarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differentiall...

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Bibliographic Details
Main Authors: Yufeng Zhang, Cong Wang, Qingqing Xia, Weilong Jiang, Huizhe Zhang, Ehsan Amiri-Ardekani, Haibing Hua, Yi Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Medicine
Subjects:
gene biomarker
immune infiltration
idiopathic pulmonary fibrosis
machine learning algorithm
CIBERSORT
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1001813/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1001813/full

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