114 related articles for article (PubMed ID: 38905428)
1. Bioinformatic analysis combined with immune infiltration to explore osteoarthritis biomarkers and drug prediction.
Liu Y; Jiang W; Huang J; Zhong L
Medicine (Baltimore); 2024 Jun; 103(25):e38430. PubMed ID: 38905428
[TBL] [Abstract][Full Text] [Related]
2. Identification of Disease-Specific Hub Biomarkers and Immune Infiltration in Osteoarthritis and Rheumatoid Arthritis Synovial Tissues by Bioinformatics Analysis.
Sun F; Zhou JL; Peng PJ; Qiu C; Cao JR; Peng H
Dis Markers; 2021; 2021():9911184. PubMed ID: 34113405
[TBL] [Abstract][Full Text] [Related]
3. Identification of aging-related biomarkers and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning.
Zhou J; Huang J; Li Z; Song Q; Yang Z; Wang L; Meng Q
Front Immunol; 2023; 14():1168780. PubMed ID: 37503333
[TBL] [Abstract][Full Text] [Related]
4. Identifying hub genes and immune infiltration of osteoarthritis using comprehensive bioinformatics analysis.
Wu ZY; Du G; Lin YC
J Orthop Surg Res; 2021 Oct; 16(1):630. PubMed ID: 34670585
[TBL] [Abstract][Full Text] [Related]
5. Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.
Zhang R; Zhou X; Jin Y; Chang C; Wang R; Liu J; Fan J; He D
Clin Rheumatol; 2021 Dec; 40(12):5103-5110. PubMed ID: 34224029
[TBL] [Abstract][Full Text] [Related]
6. [Identification of Osteoarthritis Inflamm-Aging Biomarkers by Integrating Bioinformatic Analysis and Machine Learning Strategies and the Clinical Validation].
Zhou Q; Liu J; Zhu Y; Wang Y; Wang G; Qi Y; Hu Y
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):279-289. PubMed ID: 38645862
[TBL] [Abstract][Full Text] [Related]
7. Exploration of effective biomarkers and infiltrating Immune cells in Osteoarthritis based on bioinformatics analysis.
Cheng P; Gong S; Guo C; Kong P; Li C; Yang C; Zhang T; Peng J
Artif Cells Nanomed Biotechnol; 2023 Dec; 51(1):242-254. PubMed ID: 37140355
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of autophagy-related genes in osteoarthritis articular cartilage and their roles in immune infiltration.
Qin J; Zhang J; Wu JJ; Ru X; Zhong QL; Zhao JM; Lan NH
Front Immunol; 2023; 14():1263988. PubMed ID: 38090564
[TBL] [Abstract][Full Text] [Related]
10. Identification and validation of hub genes of synovial tissue for patients with osteoarthritis and rheumatoid arthritis.
Ge Y; Chen Z; Fu Y; Xiao X; Xu H; Shan L; Tong P; Zhou L
Hereditas; 2021 Sep; 158(1):37. PubMed ID: 34583778
[TBL] [Abstract][Full Text] [Related]
11. Identification of key genes and immune infiltration in osteoarthritis through analysis of zinc metabolism-related genes.
You X; Ye Y; Lin S; Zhang Z; Guo H; Ye H
BMC Musculoskelet Disord; 2024 Mar; 25(1):227. PubMed ID: 38509535
[TBL] [Abstract][Full Text] [Related]
12. Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.
Zuo B; Zhu J; Xiao F; Wang C; Shen Y; Chen X
Biosci Rep; 2020 Dec; 40(12):. PubMed ID: 33325525
[TBL] [Abstract][Full Text] [Related]
13. Identification of key genes and their correlation with immune infiltration in osteoarthritis using integrative bioinformatics approaches and machine-learning strategies.
Xia D; Wang J; Yang S; Jiang C; Yao J
Medicine (Baltimore); 2023 Nov; 102(46):e35355. PubMed ID: 37986345
[TBL] [Abstract][Full Text] [Related]
14. Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approaches.
Da Z; Guo R; Sun J; Wang A
BMC Med Genomics; 2023 Oct; 16(1):236. PubMed ID: 37805587
[TBL] [Abstract][Full Text] [Related]
15. Identifying immune cell infiltration and diagnostic biomarkers in heart failure and osteoarthritis by bioinformatics analysis.
Wen B; Liu M; Qin X; Mao Z; Chen X
Medicine (Baltimore); 2023 Jun; 102(26):e34166. PubMed ID: 37390254
[TBL] [Abstract][Full Text] [Related]
16. Identification of Biomarkers Associated with Diagnosis of Osteoarthritis Patients Based on Bioinformatics and Machine Learning.
Liang Y; Lin F; Huang Y
J Immunol Res; 2022; 2022():5600190. PubMed ID: 35733917
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Screening of osteoarthritis diagnostic markers based on immune-related genes and immune infiltration.
Yuan WH; Xie QQ; Wang KP; Shen W; Feng XF; Liu Z; Shi JT; Zhang XB; Zhang K; Deng YJ; Zhou HY
Sci Rep; 2021 Mar; 11(1):7032. PubMed ID: 33782454
[TBL] [Abstract][Full Text] [Related]
19. Exploring the Mystery of Osteoarthritis using Bioinformatics Analysis of Cartilage Tissue.
Wang B; Zhong JL; Jiang N; Shang J; Wu B; Chen YF; Lu HD
Comb Chem High Throughput Screen; 2022; 25(1):53-63. PubMed ID: 33292128
[TBL] [Abstract][Full Text] [Related]
20. Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis.
Cai W; Li H; Zhang Y; Han G
PeerJ; 2020; 8():e8390. PubMed ID: 31988808
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]