Machine learning potential predictor of idiopathic pulmonary fibrosis

Machine learning potential predictor of idiopathic pulmonary fibrosis

IntroductionIdiopathic pulmonary fibrosis (IPF) is a severe chronic respiratory disease characterized by treatment challenges and poor prognosis. Identifying relevant biomarkers for effective early-stage risk prediction is therefore of critical importance.MethodsIn this study, we obtained gene expre...

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Bibliographic Details
Main Authors: Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Genetics
Subjects:
bioinformatics
biomarkers
immune cell infiltration
machine-learning
idiopathic pulmonary fibrosis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1464471/full
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