205 related articles for article (PubMed ID: 30272280)
1. Construction of an miRNA‑gene regulatory network in colorectal cancer through integrated analysis of mRNA and miRNA microarrays.
Hu J; Yue X; Liu J; Kong D
Mol Med Rep; 2018 Dec; 18(6):5109-5116. PubMed ID: 30272280
[TBL] [Abstract][Full Text] [Related]
2. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA‑gene pairs in small‑cell lung cancer.
Mao Y; Xue P; Li L; Xu P; Cai Y; Chu X; Jiang P; Zhu S
Mol Med Rep; 2019 Sep; 20(3):2199-2208. PubMed ID: 31257520
[TBL] [Abstract][Full Text] [Related]
6. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
7. Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis.
Li J; Zhao B; Yang C; Chen Q
Biomed Res Int; 2020; 2020():9246868. PubMed ID: 32923489
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatic analysis of microRNA-mRNA expression profiles of bladder tissue induced by bladder outlet obstruction in a rat model.
Duan LJ; Cao QF; Xu D; Liu HL; Qi J
Mol Med Rep; 2017 Oct; 16(4):4803-4810. PubMed ID: 28791388
[TBL] [Abstract][Full Text] [Related]
9. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Analysis of miRNA-mRNA regulatory network revealed key genes induced by aflatoxin B1 exposure in primary human hepatocytes.
Zhang Z; Tang D; Wang B; Wang Z; Liu M
Mol Genet Genomic Med; 2019 Nov; 7(11):e971. PubMed ID: 31502424
[TBL] [Abstract][Full Text] [Related]
13. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
Ding Y; Liu P; Zhang S; Tao L; Han J
Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
[TBL] [Abstract][Full Text] [Related]
14. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
[TBL] [Abstract][Full Text] [Related]
18. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
Chen B; Hua Z; Qin X; Li Z
Neurochem Res; 2021 Feb; 46(2):197-212. PubMed ID: 33104965
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.
Sun F; Yang X; Jin Y; Chen L; Wang L; Shi M; Zhan C; Shi Y; Wang Q
Mol Med Rep; 2017 Jul; 16(1):609-616. PubMed ID: 28560415
[TBL] [Abstract][Full Text] [Related]
20. Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer.
Liang Y; Zhang C; Ma MH; Dai DQ
World J Gastroenterol; 2018 Dec; 24(46):5259-5270. PubMed ID: 30581274
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]