184 related articles for article (PubMed ID: 26781349)
1. Identification of miRNAs and differentially expressed genes in early phase non-small cell lung cancer.
Tian W; Liu J; Pei B; Wang X; Guo Y; Yuan L
Oncol Rep; 2016 Apr; 35(4):2171-6. PubMed ID: 26781349
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of differential protein-coding gene expressions in early phase lung adenocarcinoma.
Zhou LN; Li SC; Li XY; Ge H; Li HM
Thorac Cancer; 2018 Feb; 9(2):234-240. PubMed ID: 29266838
[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. 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]
6. 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]
7. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
8. Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.
Zhou W; Yin M; Cui H; Wang N; Zhao LL; Yuan LZ; Yang XP; Ding XM; Men FZ; Ma X; Na JR
Eur Rev Med Pharmacol Sci; 2015 Sep; 19(18):3375-84. PubMed ID: 26439031
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Analysis of gene expression profiles of non-small cell lung cancer at different stages reveals significantly altered biological functions and candidate genes.
Wang J; Song J; Gao Z; Huo X; Zhang Y; Wang W; Qi J; Zheng S
Oncol Rep; 2017 Mar; 37(3):1736-1746. PubMed ID: 28098899
[TBL] [Abstract][Full Text] [Related]
11. Clinical value of miR-145-5p in NSCLC and potential molecular mechanism exploration: A retrospective study based on GEO, qRT-PCR, and TCGA data.
Gan TQ; Xie ZC; Tang RX; Zhang TT; Li DY; Li ZY; Chen G
Tumour Biol; 2017 Mar; 39(3):1010428317691683. PubMed ID: 28347234
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Differentially Expressed Gene Screening, Biological Function Enrichment, and Correlation with Prognosis in Non-Small Cell Lung Cancer.
Huang H; Huang Q; Tang T; Zhou X; Gu L; Lu X; Liu F
Med Sci Monit; 2019 Jun; 25():4333-4341. PubMed ID: 31181055
[TBL] [Abstract][Full Text] [Related]
14. Gene expression analysis of lung cancer.
Shi WY; Liu KD; Xu SG; Zhang JT; Yu LL; Xu KQ; Zhang TF
Eur Rev Med Pharmacol Sci; 2014; 18(2):217-28. PubMed ID: 24488911
[TBL] [Abstract][Full Text] [Related]
15. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
16. Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.
Luo S; Cao N; Tang Y; Gu W
PLoS One; 2017; 12(6):e0178549. PubMed ID: 28594854
[TBL] [Abstract][Full Text] [Related]
17. Long non-coding RNAs and genes contributing to the generation of cancer stem cells in hepatocellular carcinoma identified by RNA sequencing analysis.
Cao L; Zhang Q; Cheng S; Chen Z; Hua Z; Yang J; Liu D; Cui N
Oncol Rep; 2016 Nov; 36(5):2619-2624. PubMed ID: 27667473
[TBL] [Abstract][Full Text] [Related]
18. Identification of key microRNAs and their targets in exosomes of pancreatic cancer using bioinformatics analysis.
Zhao X; Ren Y; Cui N; Wang X; Cui Y
Medicine (Baltimore); 2018 Sep; 97(39):e12632. PubMed ID: 30278585
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of Early-Onset Preeclampsia-Related Genes and MicroRNAs by Bioinformatics Approaches.
Song J; Li Y; An RF
Reprod Sci; 2015 Aug; 22(8):954-63. PubMed ID: 25717061
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
