Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning

BACKGROUND: Bronchopulmonary Dysplasia (BPD) has a high incidence and affects the health of preterm infants. Cuproptosis is a novel form of cell death, but its mechanism of action in the disease is not yet clear. Machine learning, the latest tool for the analysis of biological samples, is still rela...

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Detalles Bibliográficos
Autores principales: Jia, Mingxuan, Li, Jieyi, Zhang, Jingying, Wei, Ningjing, Yin, Yating, Chen, Hui, Yan, Shixing, Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105406/
https://www.ncbi.nlm.nih.gov/pubmed/37060021
http://dx.doi.org/10.1186/s12911-023-02163-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105406/
https://www.ncbi.nlm.nih.gov/pubmed/37060021
http://dx.doi.org/10.1186/s12911-023-02163-x

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