845 related articles for article (PubMed ID: 32855723)
1. Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis.
Wang W; Wang S; Pan L
Exp Ther Med; 2020 Oct; 20(4):3720-3732. PubMed ID: 32855723
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
3. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
[TBL] [Abstract][Full Text] [Related]
4. Identification of key genes and microRNAs involved in kidney Wilms tumor by integrated bioinformatics analysis.
Zhang L; Gao X; Zhou X; Qin Z; Wang Y; Li R; Tang M; Wang W; Zhang W
Exp Ther Med; 2019 Oct; 18(4):2554-2564. PubMed ID: 31555364
[TBL] [Abstract][Full Text] [Related]
5. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.
Nie J; Gong L; Li Z; Ou D; Zhang L; Liu Y; Zhang J; Liu D
Comput Math Methods Med; 2022; 2022():5851269. PubMed ID: 35281953
[TBL] [Abstract][Full Text] [Related]
7. Identification of a Potentially Functional microRNA-mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis.
Wang XJ; Gao J; Wang Z; Yu Q
Front Cell Dev Biol; 2021; 9():641840. PubMed ID: 33681226
[TBL] [Abstract][Full Text] [Related]
8. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
Cui Z; Song Q; Chen Y; Yang K
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Identification of key pathways and genes in endometrial cancer using bioinformatics analyses.
Liu Y; Hua T; Chi S; Wang H
Oncol Lett; 2019 Jan; 17(1):897-906. PubMed ID: 30655845
[TBL] [Abstract][Full Text] [Related]
15. Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.
Luo J; Zhu L; Zhou N; Zhang Y; Zhang L; Zhang R
Front Genet; 2020; 11():627459. PubMed ID: 33664765
[No Abstract] [Full Text] [Related]
16. 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]
17. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
18. Construction of Potential miRNA-mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis.
Zhu M; Ye M; Wang J; Ye L; Jin M
Int J Chron Obstruct Pulmon Dis; 2020; 15():2135-2145. PubMed ID: 32982206
[TBL] [Abstract][Full Text] [Related]
19. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
