222 related articles for article (PubMed ID: 38711508)
21. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
22. Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.
Guo Z; Ma Y; Wang Y; Xiang H; Cui H; Fan Z; Zhu Y; Xing D; Chen B; Tao H; Guo Z; Wu X
Aging (Albany NY); 2023 May; 15(9):3807-3825. PubMed ID: 37166429
[TBL] [Abstract][Full Text] [Related]
23. Identification of Diagnostic Signatures and Immune Cell Infiltration Characteristics in Rheumatoid Arthritis by Integrating Bioinformatic Analysis and Machine-Learning Strategies.
Yu R; Zhang J; Zhuo Y; Hong X; Ye J; Tang S; Zhang Y
Front Immunol; 2021; 12():724934. PubMed ID: 34691030
[TBL] [Abstract][Full Text] [Related]
24. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
Cheng Q; Chen X; Wu H; Du Y
J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
25. Analysis of common differential gene expression in synovial cells of osteoarthritis and rheumatoid arthritis.
Liao CS; He FZ; Li XY; Zhang Y; Han PF
PLoS One; 2024; 19(5):e0303506. PubMed ID: 38771826
[TBL] [Abstract][Full Text] [Related]
26. The shared circulating diagnostic biomarkers and molecular mechanisms of systemic lupus erythematosus and inflammatory bowel disease.
Sun HW; Zhang X; Shen CC
Front Immunol; 2024; 15():1354348. PubMed ID: 38774864
[TBL] [Abstract][Full Text] [Related]
27. New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation.
Li Y; Yu J; Li R; Zhou H; Chang X
Cell Mol Biol Lett; 2024 Jan; 29(1):21. PubMed ID: 38291374
[TBL] [Abstract][Full Text] [Related]
28. Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic Approach.
Wang J; Fan Q; Yu T; Zhang Y
Curr Pharm Des; 2022; 28(6):497-509. PubMed ID: 34736376
[TBL] [Abstract][Full Text] [Related]
29. Identification and validation of potential diagnostic signature and immune cell infiltration for HIRI based on cuproptosis-related genes through bioinformatics analysis and machine learning.
Xiao F; Huang G; Yuan G; Li S; Wang Y; Tan Z; Liu Z; Tomlinson S; He S; Ouyang G; Zeng Y
Front Immunol; 2024; 15():1372441. PubMed ID: 38690269
[TBL] [Abstract][Full Text] [Related]
30. Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis.
Ma C; Lv Q; Teng S; Yu Y; Niu K; Yi C
Int J Rheum Dis; 2017 Aug; 20(8):971-979. PubMed ID: 28440025
[TBL] [Abstract][Full Text] [Related]
31. A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning.
Liu J; Chen N
J Orthop Surg Res; 2021 Jan; 16(1):44. PubMed ID: 33430905
[TBL] [Abstract][Full Text] [Related]
32. Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Liu L; Yin P; Yang R; Zhang G; Wu C; Zheng Y; Wu S; Liu M
Front Immunol; 2024; 15():1351908. PubMed ID: 38863714
[TBL] [Abstract][Full Text] [Related]
33. Integrative analysis and validation of necroptosis-related molecular signature for evaluating diagnosis and immune features in Rheumatoid arthritis.
Wan W; Qian X; Zhou B; Gao J; Deng J; Zhao D
Int Immunopharmacol; 2024 Apr; 131():111809. PubMed ID: 38484666
[TBL] [Abstract][Full Text] [Related]
34. Integrative analysis identifies oxidative stress biomarkers in non-alcoholic fatty liver disease via machine learning and weighted gene co-expression network analysis.
Wang H; Cheng W; Hu P; Ling T; Hu C; Chen Y; Zheng Y; Wang J; Zhao T; You Q
Front Immunol; 2024; 15():1335112. PubMed ID: 38476236
[TBL] [Abstract][Full Text] [Related]
35. Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis.
Dong G; Gao H; Chen Y; Yang H
Front Genet; 2023; 14():1238407. PubMed ID: 37779906
[No Abstract] [Full Text] [Related]
36. Identification of hub biomarkers and immune cell infiltration characteristics of polymyositis by bioinformatics analysis.
Jia Q; Hao RJ; Lu XJ; Sun SQ; Shao JJ; Su X; Huang QF
Front Immunol; 2022; 13():1002500. PubMed ID: 36225941
[TBL] [Abstract][Full Text] [Related]
37. Identification of biomarkers associated with synovitis in rheumatoid arthritis by bioinformatics analyses.
Li Z; Xu M; Li R; Zhu Z; Liu Y; Du Z; Zhang G; Song Y
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32840301
[TBL] [Abstract][Full Text] [Related]
38. Identification the role of necroptosis in rheumatoid arthritis by WGCNA network.
Nian F; Wang Y; Yang M; Zhang B
Autoimmunity; 2024 Dec; 57(1):2358069. PubMed ID: 38869013
[TBL] [Abstract][Full Text] [Related]
39. Bioinformatics analysis characterizes immune infiltration landscape and identifies potential blood biomarkers for heart transplantation.
Wang Y; Peng X
Transpl Immunol; 2024 Jun; 84():102036. PubMed ID: 38499050
[TBL] [Abstract][Full Text] [Related]
40. Identification of PSMB9 and CXCL13 as Immune-related Diagnostic Markers for Rheumatoid Arthritis by Machine Learning.
Li Z; Chen Y; Zulipikaer M; Xu C; Fu J; Deng T; Hao LB; Chen JY
Curr Pharm Des; 2022; 28(34):2842-2854. PubMed ID: 36045515
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]