217 related articles for article (PubMed ID: 30027097)
21. Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.
Li Y; Huang C; Yang Z; Wang L; Luo D; Qi L; Li Z; Huang Y
Eur J Pharm Sci; 2022 Jun; 173():106180. PubMed ID: 35378210
[TBL] [Abstract][Full Text] [Related]
22. Microarray profile analysis identifies ETS1 as potential biomarker regulated by miR-23b and modulates TCF4 in gastric cancer.
Mei D; Qi Y; Xia Y; Ma J; Hu H; Ai J; Chen L; Wu N; Liao D
World J Surg Oncol; 2021 Oct; 19(1):311. PubMed ID: 34686186
[TBL] [Abstract][Full Text] [Related]
23. Construction of Potential Gene Expression and Regulation Networks in Prostate Cancer Using Bioinformatics Tools.
Liu H; Li L; Fan Y; Lu Y; Zhu C; Xia W
Oxid Med Cell Longev; 2021; 2021():8846951. PubMed ID: 34512870
[TBL] [Abstract][Full Text] [Related]
24. Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.
Li Q; Zhang LY; Wu S; Huang C; Liu J; Wang P; Cao Y
Med Sci Monit; 2019 Oct; 25():7784-7794. PubMed ID: 31621692
[TBL] [Abstract][Full Text] [Related]
25. Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using Microarray Expression Data.
Gao Y; Zhang S; Zhang Y; Qian J
Front Genet; 2020; 11():463. PubMed ID: 32508878
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. 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]
28. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
[TBL] [Abstract][Full Text] [Related]
29. Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.
Cai Y; Hu W
Sci Rep; 2022 Dec; 12(1):21879. PubMed ID: 36536067
[TBL] [Abstract][Full Text] [Related]
30. Bioinformatics analysis of differentially expressed miRNA-related mRNAs and their prognostic value in breast carcinoma.
Zhang GM; Goyal H; Song LL
Oncol Rep; 2018 Jun; 39(6):2865-2872. PubMed ID: 29693181
[TBL] [Abstract][Full Text] [Related]
31. Identification of an MiRNA-mRNA Regulatory Network in Colorectal Cancer.
Cui MF; Wu YY; Chen MY; Zhao Y; Han SY; Wang RJ; Zhang H; Fang XD
Comb Chem High Throughput Screen; 2021; 24(10):1736-1745. PubMed ID: 33172374
[TBL] [Abstract][Full Text] [Related]
32. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
33. Identification of miRNAs and genes for predicting Barrett's esophagus progressing to esophageal adenocarcinoma using miRNA-mRNA integrated analysis.
Yao C; Li Y; Luo L; Xiong Q; Zhong X; Xie F; Feng P
PLoS One; 2021; 16(11):e0260353. PubMed ID: 34818353
[TBL] [Abstract][Full Text] [Related]
34. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Gastric Carcinoma using Bioinformatics Analysis.
Yang G; Zhang Y; Yang J
Med Sci Monit; 2019 Nov; 25():8777-8796. PubMed ID: 31747387
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
[No Abstract] [Full Text] [Related]
37. Analysis of key genes and micro-RNA-mRNA regulatory networks in women with ulcerative interstitial cystitis/pain bladder syndrome.
Liu S; Feng S; Luo D
Int Urogynecol J; 2019 Sep; 30(9):1487-1495. PubMed ID: 30456462
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
39. Identification of potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma.
Pan Y; Lu L; Chen J; Zhong Y; Dai Z
Hereditas; 2018; 155():21. PubMed ID: 29760609
[TBL] [Abstract][Full Text] [Related]
40. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
Liu L; Yang Y; Yu D
Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
