Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis

Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis

BackgroundIdiopathic pulmonary fibrosis (IPF) is a progressive lung disease marked by excessive fibrous tissue accumulation in the lung interstitium, leading to a gradual deterioration of respiratory function and significantly impairing patients’ quality of life. Despite advances in understanding it...

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Bibliographic Details
Main Authors: Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Medicine
Subjects:
idiopathic pulmonary fibrosis
gene expression
machine learning
immune cell infiltration
Shapley additive explanations
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1608078/full
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