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

Frontiers in medicine(2023)

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摘要
COL3A1, CDH3, CEBPD, and GPIHBP1 are candidate biomarkers of IPF. Plasma cells, M0 macrophages and eosinophils may be involved in the development of IPF and may serve as immunotherapeutic targets in IPF.
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关键词
CIBERSORT,gene biomarker,idiopathic pulmonary fibrosis,immune infiltration,machine learning algorithm
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