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Journal Abstract Search
942 related items for PubMed ID: 33397492
1. Identification of differentially expressed genes, signaling pathways and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis. Ge Y, Zhou L, Chen Z, Mao Y, Li T, Tong P, Shan L. Hereditas; 2021 Jan 04; 158(1):5. PubMed ID: 33397492 [Abstract] [Full Text] [Related]
4. 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 06; 19(1):18. PubMed ID: 33407587 [Abstract] [Full Text] [Related]
5. Identification of differentially expressed and methylated genes associated with rheumatoid arthritis based on network. Zhang D, Li Z, Zhang R, Yang X, Zhang D, Li Q, Wang C, Yang X, Xiong Y. Autoimmunity; 2020 Sep 06; 53(6):303-313. PubMed ID: 32650679 [Abstract] [Full Text] [Related]
7. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach. Wu R, Long L, Zhou Q, Su J, Su W, Zhu J. J Orthop Surg Res; 2021 Jul 16; 16(1):458. PubMed ID: 34271942 [Abstract] [Full Text] [Related]
8. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome‑wide gene expression profiling analysis. Zhang R, Yang X, Wang J, Han L, Yang A, Zhang J, Zhang D, Li B, Li Z, Xiong Y. Mol Med Rep; 2019 Jan 16; 19(1):30-40. PubMed ID: 30483789 [Abstract] [Full Text] [Related]
10. CCL5 and related genes might be the potential diagnostic biomarkers for the therapeutic strategies of rheumatoid arthritis. Huang Y, Zheng S, Wang R, Tang C, Zhu J, Li J. Clin Rheumatol; 2019 Sep 16; 38(9):2629-2635. PubMed ID: 31011897 [Abstract] [Full Text] [Related]
12. Comprehensive Bioinformatics Analysis Reveals Hub Genes and Inflammation State of Rheumatoid Arthritis. Ren C, Li M, Du W, Lü J, Zheng Y, Xu H, Quan R. Biomed Res Int; 2020 Sep 16; 2020():6943103. PubMed ID: 32802866 [Abstract] [Full Text] [Related]
13. Bioinformatics-based study to identify immune infiltration and inflammatory-related hub genes as biomarkers for the treatment of rheumatoid arthritis. Fang S, Xu X, Zhong L, Wang AQ, Gao WL, Lu M, Yin ZS. Immunogenetics; 2021 Dec 16; 73(6):435-448. PubMed ID: 34477936 [Abstract] [Full Text] [Related]
14. 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 23; 40(12):. PubMed ID: 33325525 [Abstract] [Full Text] [Related]
18. Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis. Zhu N, Hou J, Wu Y, Li G, Liu J, Ma G, Chen B, Song Y. Medicine (Baltimore); 2018 Jun 23; 97(22):e10997. PubMed ID: 29851858 [Abstract] [Full Text] [Related]