Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms

This study identified 4 hub immune-related genes (EGF, PLTP, RGS2, PTGDS), as well as their expression profiles and the correlation with immune cell infiltration in DN.

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Publication Details

Journal
BMC Medical Genomics
Published
2024-08-26
DOI
https://doi.org/10.1186/s12920-024-01995-4
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms

Chang Guo, Ying Dong, Yubing Han, Wei J. Wang
BMC Medical Genomics
Chronic Kidney Disease and Diabetes
article

Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms

Chang Guo, Ying Dong, Yubing Han, Wei J. Wang
article en

Abstract

This study identified 4 hub immune-related genes (EGF, PLTP, RGS2, PTGDS), as well as their expression profiles and the correlation with immune cell infiltration in DN.

BMC Medical GenomicsVol. 17(1)
Harbin Medical University (CN), Second Affiliated Hospital of Harbin Medical University (CN)
Openalex Percentile: Top 82%
Chronic Kidney Disease and Diabetes
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Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms — Chang Guo, Ying Dong, et al. · BMC Medical Genomics (2024) | TGRS Research Map | TGRS