Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning

Introduction: Bronchopulmonary dysplasia (BPD) is a life-threatening lung illness that affects premature infants and has a high incidence and mortality. Using interpretable machine learning, we aimed to investigate the involvement of endoplasmic reticulum (ER) stress-related genes (ERSGs) in BPD pat...

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Detalles Bibliográficos
Autores principales: Tao, Ziyu, Mao, Yan, Hu, Yifang, Tang, Xinfang, Wang, Jimei, Zeng, Ni, Bao, Yunlei, Luo, Fei, Wu, Chuyan, Jiang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868568/
https://www.ncbi.nlm.nih.gov/pubmed/36699685
http://dx.doi.org/10.3389/fphys.2022.1084650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868568/
https://www.ncbi.nlm.nih.gov/pubmed/36699685
http://dx.doi.org/10.3389/fphys.2022.1084650

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