188 related articles for article (PubMed ID: 36891052)
1. APOC1 as a novel diagnostic biomarker for DN based on machine learning algorithms and experiment.
Yu K; Li S; Wang C; Zhang Y; Li L; Fan X; Fang L; Li H; Yang H; Sun J; Yang X
Front Endocrinol (Lausanne); 2023; 14():1102634. PubMed ID: 36891052
[TBL] [Abstract][Full Text] [Related]
2. APOC1 exacerbates renal fibrosis through the activation of the NF-κB signaling pathway in IgAN.
Yu K; Ding L; An X; Yang Y; Zhang X; Li L; Wang C; Bai F; Yang X
Front Pharmacol; 2023; 14():1181435. PubMed ID: 37305534
[No Abstract] [Full Text] [Related]
3. Identification and Verification of Diagnostic Biomarkers for Glomerular Injury in Diabetic Nephropathy Based on Machine Learning Algorithms.
Han H; Chen Y; Yang H; Cheng W; Zhang S; Liu Y; Liu Q; Liu D; Yang G; Li K
Front Endocrinol (Lausanne); 2022; 13():876960. PubMed ID: 35663304
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy.
Zhang H; Hu J; Zhu J; Li Q; Fang L
Front Endocrinol (Lausanne); 2022; 13():1026938. PubMed ID: 36482994
[TBL] [Abstract][Full Text] [Related]
5. Machine-learning algorithm-based prediction of a diagnostic model based on oxidative stress-related genes involved in immune infiltration in diabetic nephropathy patients.
Zhu HM; Liu N; Sun DX; Luo L
Front Immunol; 2023; 14():1202298. PubMed ID: 37554330
[TBL] [Abstract][Full Text] [Related]
6. Utilizing machine learning algorithms to identify biomarkers associated with diabetic nephropathy: A review.
Dong B; Liu X; Yu S
Medicine (Baltimore); 2024 Feb; 103(8):e37235. PubMed ID: 38394492
[TBL] [Abstract][Full Text] [Related]
7. Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.
Gholaminejad A; Fathalipour M; Roointan A
BMC Nephrol; 2021 Jul; 22(1):245. PubMed ID: 34215202
[TBL] [Abstract][Full Text] [Related]
8. Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning.
Xu M; Zhou H; Hu P; Pan Y; Wang S; Liu L; Liu X
Front Immunol; 2023; 14():1084531. PubMed ID: 36911691
[TBL] [Abstract][Full Text] [Related]
9. Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning.
Su J; Peng J; Wang L; Xie H; Zhou Y; Chen H; Shi Y; Guo Y; Zheng Y; Guo Y; Dong Z; Zhang X; Liu H
Front Endocrinol (Lausanne); 2023; 14():1206154. PubMed ID: 37745718
[TBL] [Abstract][Full Text] [Related]
10. Identification of key immune-related genes and immune infiltration in diabetic nephropathy based on machine learning algorithms.
Sun Y; Dai W; He W
IET Syst Biol; 2023 Jun; 17(3):95-106. PubMed ID: 36919187
[TBL] [Abstract][Full Text] [Related]
11. Identification of a novel immune landscape signature as effective diagnostic markers related to immune cell infiltration in diabetic nephropathy.
Zhou H; Mu L; Yang Z; Shi Y
Front Immunol; 2023; 14():1113212. PubMed ID: 36969169
[TBL] [Abstract][Full Text] [Related]
12. GBP2 promotes M1 macrophage polarization by activating the notch1 signaling pathway in diabetic nephropathy.
Li X; Liu J; Zeng M; Yang K; Zhang S; Liu Y; Yin X; Zhao C; Wang W; Xiao L
Front Immunol; 2023; 14():1127612. PubMed ID: 37622120
[TBL] [Abstract][Full Text] [Related]
13. Identification of diagnostic markers related to oxidative stress and inflammatory response in diabetic kidney disease by machine learning algorithms: Evidence from human transcriptomic data and mouse experiments.
Zhong M; Zhu E; Li N; Gong L; Xu H; Zhong Y; Gong K; Jiang S; Wang X; Fei L; Tang C; Lei Y; Wang Z; Zheng Z
Front Endocrinol (Lausanne); 2023; 14():1134325. PubMed ID: 36960398
[TBL] [Abstract][Full Text] [Related]
14. Identifying Aging-Related Biomarkers and Immune Infiltration Features in Diabetic Nephropathy Using Integrative Bioinformatics Approaches and Machine-Learning Strategies.
Liu T; Zhuang XX; Gao JR
Biomedicines; 2023 Sep; 11(9):. PubMed ID: 37760894
[TBL] [Abstract][Full Text] [Related]
15. CD8+T Cell-Related Gene Biomarkers in Macular Edema of Diabetic Retinopathy.
Huang J; Zhou Q
Front Endocrinol (Lausanne); 2022; 13():907396. PubMed ID: 35937822
[TBL] [Abstract][Full Text] [Related]
16. Identification of Lumican and Fibromodulin as Hub Genes Associated with Accumulation of Extracellular Matrix in Diabetic Nephropathy.
Feng S; Gao Y; Yin D; Lv L; Wen Y; Li Z; Wang B; Wu M; Liu B
Kidney Blood Press Res; 2021; 46(3):275-285. PubMed ID: 33887734
[TBL] [Abstract][Full Text] [Related]
17.
Wang X; Li R; Liu T; Jia Y; Gao X; Zhang X
Endocr Metab Immune Disord Drug Targets; 2023; 23(3):294-303. PubMed ID: 35713142
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis identifies diagnostic biomarkers and their correlation with immune infiltration in diabetic nephropathy.
Huang M; Zhu Z; Nong C; Liang Z; Ma J; Li G
Ann Transl Med; 2022 Jun; 10(12):669. PubMed ID: 35845512
[TBL] [Abstract][Full Text] [Related]
19. Seven basement membrane-specific expressed genes are considered potential biomarkers for the diagnosis and treatment of diabetic nephropathy.
Gui H; Chen X; Ye L; Ma H
Acta Diabetol; 2023 Apr; 60(4):493-505. PubMed ID: 36627452
[TBL] [Abstract][Full Text] [Related]
20. Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy.
Yang YY; Gao ZX; Mao ZH; Liu DW; Liu ZS; Wu P
Front Endocrinol (Lausanne); 2022; 13():1079465. PubMed ID: 36743936
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
