Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis.
Frontiers in medicine(2023)
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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