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

OBJECTIVE: This study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms. METHODS: Microarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differen...

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Detalles Bibliográficos
Autores principales: Zhang, Yufeng, Wang, Cong, Xia, Qingqing, Jiang, Weilong, Zhang, Huizhe, Amiri-Ardekani, Ehsan, Hua, Haibing, Cheng, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968813/
https://www.ncbi.nlm.nih.gov/pubmed/36860337
http://dx.doi.org/10.3389/fmed.2023.1001813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968813/
https://www.ncbi.nlm.nih.gov/pubmed/36860337
http://dx.doi.org/10.3389/fmed.2023.1001813

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