Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co expression network analysis and machine learning algorithms

The present study was designed to identify potential diagnostic markers for diabetic kidney disease (DKD). Two publicly available gene expression profiles (GSE142153 and GSE30528 datasets) from human DKD and control samples were downloaded from the GEO database. Differentially expressed genes (DEGs)...

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Detalles Bibliográficos
Autores principales: Gao, Qian, Jin, Huawei, Xu, Wenfang, Wang, Yanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
4300
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615450/
https://www.ncbi.nlm.nih.gov/pubmed/37904449
http://dx.doi.org/10.1097/MD.0000000000035618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615450/
https://www.ncbi.nlm.nih.gov/pubmed/37904449
http://dx.doi.org/10.1097/MD.0000000000035618

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