223 related articles for article (PubMed ID: 28058586)
1. Key Genes in Stomach Adenocarcinoma Identified via Network Analysis of RNA-Seq Data.
Shen L; Zhao L; Tang J; Wang Z; Bai W; Zhang F; Wang S; Li W
Pathol Oncol Res; 2017 Oct; 23(4):745-752. PubMed ID: 28058586
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis of RNA-seq data revealed critical genes in colon adenocarcinoma.
Xi WD; Liu YJ; Sun XB; Shan J; Yi L; Zhang TT
Eur Rev Med Pharmacol Sci; 2017 Jul; 21(13):3012-3020. PubMed ID: 28742206
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatic analysis of RNA-seq data unveiled critical genes in rectal adenocarcinoma.
Zuo ZG; Zhang XF; Ye XZ; Zhou ZH; Wu XB; Ni SC; Song HY
Eur Rev Med Pharmacol Sci; 2016 Jul; 20(14):3017-25. PubMed ID: 27460729
[TBL] [Abstract][Full Text] [Related]
4. E2F, HSF2, and miR-26 in thyroid carcinoma: bioinformatic analysis of RNA-sequencing data.
Lu JC; Zhang YP
Genet Mol Res; 2016 Mar; 15(1):15017576. PubMed ID: 26985959
[TBL] [Abstract][Full Text] [Related]
5. Transcriptional Regulatory Network Analysis for Gastric Cancer Based on mRNA Microarray.
Wang Y
Pathol Oncol Res; 2017 Oct; 23(4):785-791. PubMed ID: 28078605
[TBL] [Abstract][Full Text] [Related]
6. Construction of a circular RNA-microRNA-messengerRNA regulatory network in stomach adenocarcinoma.
Liu Q; Zhang W; Wu Z; Liu H; Hu H; Shi H; Li S; Zhang X
J Cell Biochem; 2020 Feb; 121(2):1317-1331. PubMed ID: 31486138
[TBL] [Abstract][Full Text] [Related]
7. Identification of aberrantly expressed long non-coding RNAs in stomach adenocarcinoma.
Gu J; Li Y; Fan L; Zhao Q; Tan B; Hua K; Wu G
Oncotarget; 2017 Jul; 8(30):49201-49216. PubMed ID: 28484081
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinoma.
Wei S; Chen J; Huang Y; Sun Q; Wang H; Liang X; Hu Z; Li X
J Cell Physiol; 2020 Mar; 235(3):2037-2048. PubMed ID: 31612481
[TBL] [Abstract][Full Text] [Related]
9. Screening of Critical Genes and MicroRNAs in Blood Samples of Patients with Ruptured Intracranial Aneurysms by Bioinformatic Analysis of Gene Expression Data.
Bo L; Wei B; Wang Z; Kong D; Gao Z; Miao Z
Med Sci Monit; 2017 Sep; 23():4518-4525. PubMed ID: 28930970
[TBL] [Abstract][Full Text] [Related]
10. Global gene expression analysis of knockdown Triosephosphate isomerase (TPI) gene in human gastric cancer cell line MGC-803.
Ouyang P; Lin B; Du J; Pan H; Yu H; He R; Huang Z
Gene; 2018 Mar; 647():61-72. PubMed ID: 29307852
[TBL] [Abstract][Full Text] [Related]
11. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
12. Gene expression profiling of gastric cancer.
Jiang HB; Yang TJ; Lu P; Ma YJ
Eur Rev Med Pharmacol Sci; 2014; 18(15):2109-15. PubMed ID: 25070814
[TBL] [Abstract][Full Text] [Related]
13. Analysis of competing endogenous RNA network to identify the key RNAs associated with prostate adenocarcinoma.
Li Y; Yang Z
Pathol Res Pract; 2018 Nov; 214(11):1811-1817. PubMed ID: 30195637
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Integrated analysis of DNA methylation and microRNA regulation of the lung adenocarcinoma transcriptome.
Du J; Zhang L
Oncol Rep; 2015 Aug; 34(2):585-94. PubMed ID: 26035298
[TBL] [Abstract][Full Text] [Related]
16. The exploration of disease-specific gene regulatory networks in esophageal carcinoma and stomach adenocarcinoma.
Qin G; Yang L; Ma Y; Liu J; Huo Q
BMC Bioinformatics; 2019 Dec; 20(Suppl 22):717. PubMed ID: 31888440
[TBL] [Abstract][Full Text] [Related]
17. Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets.
Ren N; Liang B; Li Y
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 33015704
[TBL] [Abstract][Full Text] [Related]
18. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
19. An ensemble method integrated with miRNA expression data for predicting miRNA targets in stomach adenocarcinoma.
Liu GW; Qin ZM; Shen QH
Cancer Biomark; 2017 Dec; 20(4):617-625. PubMed ID: 28800320
[TBL] [Abstract][Full Text] [Related]
20. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
