Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy

BACKGROUND: To identify the diagnostic biomarkers of metabolism-related genes (MRGs), and investigate the association of the MRGs and immune infiltration landscape in diabetic nephropathy (DN). METHODS: The transcriptome matrix was downloaded from the GEO database. R package “limma” was utilized to...

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Detalles Bibliográficos
Autores principales: Zhang, Huangjie, Hu, Jinguo, Zhu, Junfeng, Li, Qinglin, Fang, Luo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722730/
https://www.ncbi.nlm.nih.gov/pubmed/36482994
http://dx.doi.org/10.3389/fendo.2022.1026938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722730/
https://www.ncbi.nlm.nih.gov/pubmed/36482994
http://dx.doi.org/10.3389/fendo.2022.1026938

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