Machine-Learning Algorithm-Based Prediction of Diagnostic Gene Biomarkers Related to Immune Infiltration in Patients With Chronic Obstructive Pulmonary Disease

OBJECTIVE: This study aims to identify clinically relevant diagnostic biomarkers in chronic obstructive pulmonary disease (COPD) while exploring how immune cell infiltration contributes towards COPD pathogenesis. METHODS: The GEO database provided two human COPD gene expression datasets (GSE38974 an...

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Detalles Bibliográficos
Autores principales: Zhang, Yuepeng, Xia, Rongyao, Lv, Meiyu, Li, Zhiheng, Jin, Lingling, Chen, Xueda, Han, Yaqian, Shi, Chunpeng, Jiang, Yanan, Jin, Shoude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957805/
https://www.ncbi.nlm.nih.gov/pubmed/35350787
http://dx.doi.org/10.3389/fimmu.2022.740513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957805/
https://www.ncbi.nlm.nih.gov/pubmed/35350787
http://dx.doi.org/10.3389/fimmu.2022.740513

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