Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis

OBJECTIVE: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease and end-stage renal disease worldwide. Early diagnosis is critical to prevent its progression. The aim of this study was to identify potential diagnostic biomarkers for DKD, illustrate the biological processes re...

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Detalles Bibliográficos
Autores principales: Fu, Shaojie, Cheng, Yanli, Wang, Xueyao, Huang, Jingda, Su, Sensen, Wu, Hao, Yu, Jinyu, Xu, Zhonggao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556813/
https://www.ncbi.nlm.nih.gov/pubmed/36250071
http://dx.doi.org/10.3389/fmed.2022.918657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556813/
https://www.ncbi.nlm.nih.gov/pubmed/36250071
http://dx.doi.org/10.3389/fmed.2022.918657

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