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231 related items for PubMed ID: 39341952
1. Identification of key hub genes in knee osteoarthritis through integrated bioinformatics analysis. Xu L, Ma J, Zhou C, Shen Z, Zhu K, Wu X, Chen Y, Chen T, Lin X. Sci Rep; 2024 Sep 28; 14(1):22437. PubMed ID: 39341952 [Abstract] [Full Text] [Related]
6. Identification of key genes as potential diagnostic biomarkers in sepsis by bioinformatics analysis. Lin G, Li N, Liu J, Sun J, Zhang H, Gui M, Zeng Y, Tang J. PeerJ; 2024 Sep 28; 12():e17542. PubMed ID: 38912048 [Abstract] [Full Text] [Related]
8. Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis. Zhao J, Su Y, Jiao J, Wang Z, Fang X, He X, Zhang X, Liu Z, Xu X. Biomed Res Int; 2020 Sep 28; 2020():2123787. PubMed ID: 32685450 [Abstract] [Full Text] [Related]
9. 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 Sep 28; 28(6):497-509. PubMed ID: 34736376 [Abstract] [Full Text] [Related]
11. Bioinformatics analysis of effective biomarkers and immune infiltration in type 2 diabetes with cognitive impairment and aging. Wang Q, Yang Y. Sci Rep; 2024 Oct 07; 14(1):23279. PubMed ID: 39375405 [Abstract] [Full Text] [Related]
14. Systems biology-based analysis exploring shared biomarkers and pathogenesis of myocardial infarction combined with osteoarthritis. Luo Y, Liu Y, Xue W, He W, Lv D, Zhao H. Front Immunol; 2024 Oct 07; 15():1398990. PubMed ID: 39086489 [Abstract] [Full Text] [Related]
15. 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]
16. Identification of novel hub genes and immune infiltration in atopic dermatitis using integrated bioinformatics analysis. Zhou Y, Zhou Y, Zhang S, Yu S, Li Z, Yang Z, Wu Y, Zhao Z, Zhang H, Li C. Sci Rep; 2024 Oct 04; 14(1):23054. PubMed ID: 39367003 [Abstract] [Full Text] [Related]
17. Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis. Wei R, Qiao J, Cui D, Pan Q, Guo L. Front Endocrinol (Lausanne); 2022 Oct 04; 13():883658. PubMed ID: 35721731 [Abstract] [Full Text] [Related]
18. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis. Xiong Y, Mi BB, Liu MF, Xue H, Wu QP, Liu GH. Med Sci Monit; 2019 Mar 27; 25():2246-2256. PubMed ID: 30916045 [Abstract] [Full Text] [Related]
19. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis. Hong SY, Xia QD, Xu JZ, Liu CQ, Sun JX, Xun Y, Wang SG. BMC Med Genomics; 2022 Jan 11; 15(1):7. PubMed ID: 35016690 [Abstract] [Full Text] [Related]