Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis
ObjectiveDiabetic 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 rela...
| 出版年: | Frontiers in Medicine |
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| 主要な著者: | , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Frontiers Media S.A.
2022-09-01
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| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fmed.2022.918657/full |