473 related articles for article (PubMed ID: 33747117)
21. Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
Lin S; Wu J; Chen B; Li S; Huang H
Front Endocrinol (Lausanne); 2022; 13():844218. PubMed ID: 35620387
[TBL] [Abstract][Full Text] [Related]
22. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
23. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
24. Identifying the key microRNAs implicated in atrial fibrillation.
Cao Y; Cui L
Anatol J Cardiol; 2021 Jun; 25(6):429-436. PubMed ID: 34100730
[TBL] [Abstract][Full Text] [Related]
25. Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.
Zhang L; Lu D; Liu M; Zhang M; Peng Q
Mol Med Rep; 2019 Sep; 20(3):2316-2324. PubMed ID: 31322209
[TBL] [Abstract][Full Text] [Related]
26. miR‑29 mediates exercise‑induced skeletal muscle angiogenesis by targeting VEGFA, COL4A1 and COL4A2 via the PI3K/Akt signaling pathway.
Chen L; Bai J; Li Y
Mol Med Rep; 2020 Aug; 22(2):661-670. PubMed ID: 32467996
[TBL] [Abstract][Full Text] [Related]
27. Identification of microRNA-mRNA interactions in atrial fibrillation using microarray expression profiles and bioinformatics analysis.
Wang T; Wang B
Mol Med Rep; 2016 Jun; 13(6):4535-40. PubMed ID: 27082053
[TBL] [Abstract][Full Text] [Related]
28. Bioinformatics analysis of miRNA and mRNA expression profiles to reveal the key miRNAs and genes in osteoarthritis.
Huang PY; Wu JG; Gu J; Zhang TQ; Li LF; Wang SQ; Wang M
J Orthop Surg Res; 2021 Jan; 16(1):63. PubMed ID: 33468167
[TBL] [Abstract][Full Text] [Related]
29. Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.
Gao X; Zhao D; Han J; Zhang Z; Wang Z
BMC Oral Health; 2022 Apr; 22(1):118. PubMed ID: 35397550
[TBL] [Abstract][Full Text] [Related]
30. Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis.
Zhang J; Huang X; Wang X; Gao Y; Liu L; Li Z; Chen X; Zeng J; Ye Z; Li G
BMC Med Genomics; 2020 Jul; 13(1):104. PubMed ID: 32682418
[TBL] [Abstract][Full Text] [Related]
31. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
[TBL] [Abstract][Full Text] [Related]
32. Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.
Lou W; Chen J; Ding B; Chen D; Zheng H; Jiang D; Xu L; Bao C; Cao G; Fan W
J Transl Med; 2018 Sep; 16(1):266. PubMed ID: 30268144
[TBL] [Abstract][Full Text] [Related]
33. MiR-155-5p exerts tumor-suppressing functions in Wilms tumor by targeting IGF2 via the PI3K signaling pathway.
Luo X; Dong J; He X; Shen L; Long C; Liu F; Liu X; Lin T; He D; Wei G
Biomed Pharmacother; 2020 May; 125():109880. PubMed ID: 32004974
[TBL] [Abstract][Full Text] [Related]
34. Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis.
Fan J; Chen Y; Zhang W; Zhou X; Bai X; Chang C; Han Y; Liu J
Dis Markers; 2022; 2022():6113807. PubMed ID: 36193503
[TBL] [Abstract][Full Text] [Related]
35. Identification of key microRNAs associated with diffuse large B-cell lymphoma by analyzing serum microRNA expressions.
Meng Y; Quan L; Liu A
Gene; 2018 Feb; 642():205-211. PubMed ID: 29128636
[TBL] [Abstract][Full Text] [Related]
36. Comprehensive Analysis of Pertinent Genes and Pathways in Atrial Fibrillation.
Wang Y; Cai W; Gu L; Ji X; Shen Q
Comput Math Methods Med; 2021; 2021():4530180. PubMed ID: 35003319
[TBL] [Abstract][Full Text] [Related]
37. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
Zhang C; Zhang CD; Ma MH; Dai DQ
World J Gastroenterol; 2018 Mar; 24(11):1206-1215. PubMed ID: 29568201
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Identification of pivotal genes and pathways in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis through integrated bioinformatic analysis.
Aihaiti Y; Tuerhong X; Ye JT; Ren XY; Xu P
Mol Med Rep; 2020 Oct; 22(4):3513-3524. PubMed ID: 32945465
[TBL] [Abstract][Full Text] [Related]
40. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
Jin X; Guan Y; Zhang Z; Wang H
BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
