Identification of key immune‐related genes and immune infiltration in diabetic nephropathy based on machine learning algorithms
Abstract Background Diabetic nephropathy (DN) is a complication of diabetes. This study aimed to identify potential diagnostic markers of DN and explore the significance of immune cell infiltration in this pathology. Methods The GSE30528, GSE96804, and GSE1009 datasets were downloaded from the Gene...
Main Authors: | Yue Sun, Weiran Dai, Wenwen He |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-06-01
|
Series: | IET Systems Biology |
Subjects: | |
Online Access: | https://doi.org/10.1049/syb2.12061 |
Similar Items
-
The landscape of immune cell infiltration in the glomerulus of diabetic nephropathy: evidence based on bioinformatics
by: Wei ZHOU, et al.
Published: (2022-09-01) -
Diagnostic gene biomarkers for predicting immune infiltration in endometriosis
by: Chengmao Xie, et al.
Published: (2022-05-01) -
Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation
by: Li-Da Wu, et al.
Published: (2022-03-01) -
Identification of diagnostic gene biomarkers related to immune infiltration in patients with idiopathic pulmonary fibrosis based on bioinformatics strategies
by: Xiangdong Dai, et al.
Published: (2022-11-01) -
Identification through machine learning of potential immune- related gene biomarkers associated with immune cell infiltration in myocardial infarction
by: Hao Dong, et al.
Published: (2023-03-01)