These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
219 related articles for article (PubMed ID: 36467340)
21. Identification of Genes and Key Pathways Associated with the Pathophysiology of Lung Cancer and Atrial Fibrillation. Yang D; Chen Y; Yu Y; Chen X Altern Ther Health Med; 2024 Mar; 30(3):68-75. PubMed ID: 37883760 [TBL] [Abstract][Full Text] [Related]
22. Bioinformatics analysis reveals the potential common genes and immune characteristics between atrial fibrillation and periodontitis. Xiang J; Cao J; Shen J; Wang X; Liang J; Li X; Zhang L; Tang B J Periodontal Res; 2024 Feb; 59(1):104-118. PubMed ID: 37971162 [TBL] [Abstract][Full Text] [Related]
23. Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease. Liu Y; Bai F; Tang Z; Liu N; Liu Q BMC Cardiovasc Disord; 2021 Jan; 21(1):52. PubMed ID: 33509101 [TBL] [Abstract][Full Text] [Related]
24. Identification of key genes in atrial fibrillation using bioinformatics analysis. Liu Y; Tang R; Zhao Y; Jiang X; Wang Y; Gu T BMC Cardiovasc Disord; 2020 Aug; 20(1):363. PubMed ID: 32778054 [TBL] [Abstract][Full Text] [Related]
25. Integrated Analysis of Competitive Endogenous RNA Networks in Acute Ischemic Stroke. Wu Z; Wei W; Fan H; Gu Y; Li L; Wang H Front Genet; 2022; 13():833545. PubMed ID: 35401659 [No Abstract] [Full Text] [Related]
26. Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis. Liu L; Yu Y; Hu LL; Dong QB; Hu F; Zhu LJ; Liang Q; Yu LL; Bao HH; Cheng XS Med Sci Monit; 2021 Mar; 27():e928366. PubMed ID: 33741890 [TBL] [Abstract][Full Text] [Related]
27. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease. Chen X; Cao W; Zhuang Y; Chen S; Li X Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521 [TBL] [Abstract][Full Text] [Related]
28. Identification and verification of FN1, P4HA1 and CREBBP as potential biomarkers in human atrial fibrillation. Zhu M; Yan T; Zhu S; Weng F; Zhu K; Wang C; Guo C Math Biosci Eng; 2023 Feb; 20(4):6947-6965. PubMed ID: 37161136 [TBL] [Abstract][Full Text] [Related]
29. Bioinformatics analysis of the circRNA-miRNA-mRNA network for atrial fibrillation. Liu X; Zeng Y; Liu Z; Li W; Wang L; Wu M Medicine (Baltimore); 2022 Aug; 101(34):e30221. PubMed ID: 36042613 [TBL] [Abstract][Full Text] [Related]
30. Identification of key differentially expressed immune related genes in patients with persistent atrial fibrillation: an integrated bioinformation analysis. Tao Y; Feng T; Zhou L; Han L BMC Cardiovasc Disord; 2024 Jul; 24(1):346. PubMed ID: 38977948 [TBL] [Abstract][Full Text] [Related]
31. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning. Zhang Q; Guo Y; Zhang B; Liu H; Peng Y; Wang D; Zhang D Front Cardiovasc Med; 2022; 9():939972. PubMed ID: 35958412 [TBL] [Abstract][Full Text] [Related]
32. PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation. Shi W; Li X; Su Y; Liu D; Wu L; Li S; He W; Zhong G; Jiang Z Front Cardiovasc Med; 2023; 10():1082015. PubMed ID: 37396579 [TBL] [Abstract][Full Text] [Related]
33. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis. Xiao S; Zhou Y; Liu Q; Zhang T; Pan D Comput Math Methods Med; 2021; 2021():6680211. PubMed ID: 33747117 [TBL] [Abstract][Full Text] [Related]
34. Proteomics discovery of biomarkers for mitral regurgitation caused by mitral valve prolapse. Tan HT; Ling LH; Dolor-Torres MC; Yip JW; Richards AM; Chung MC J Proteomics; 2013 Dec; 94():337-45. PubMed ID: 24140280 [TBL] [Abstract][Full Text] [Related]
35. Identification of microRNAs enriched in exosomes in human pericardial fluid of patients with atrial fibrillation based on bioinformatic analysis. Liu L; Chen Y; Shu J; Tang CE; Jiang Y; Luo F J Thorac Dis; 2020 Oct; 12(10):5617-5627. PubMed ID: 33209394 [TBL] [Abstract][Full Text] [Related]
36. Bioinformatic analysis for the identification of potential gene interactions and therapeutic targets in atrial fibrillation. Yu SD; Yu JY; Guo Y; Liu XY; Liang T; Chen LZ; Chu YP; Zhang HP Eur Rev Med Pharmacol Sci; 2021 Mar; 25(5):2281-2290. PubMed ID: 33755965 [TBL] [Abstract][Full Text] [Related]
37. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus. Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293 [TBL] [Abstract][Full Text] [Related]
38. CXCR4 and TYROBP mediate the development of atrial fibrillation via inflammation. Zhang YF; Meng LB; Hao ML; Li XY; Zou T J Cell Mol Med; 2022 Jun; 26(12):3557-3567. PubMed ID: 35607269 [TBL] [Abstract][Full Text] [Related]
39. Screening of atrial fibrillation diagnostic markers based on a GEO database chip and bioinformatics analysis. Wei B; Huang X; Lu Y; Xie D; Wei G; Wen W J Thorac Dis; 2022 Dec; 14(12):4773-4784. PubMed ID: 36647491 [TBL] [Abstract][Full Text] [Related]
40. 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; 158(1):5. PubMed ID: 33397492 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]