243 related articles for article (PubMed ID: 29844815)
1. Identification of crucial genes associated with esophageal squamous cell carcinoma by gene expression profile analysis.
Wang X; Li G; Luo Q; Gan C
Oncol Lett; 2018 Jun; 15(6):8983-8990. PubMed ID: 29844815
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
He Y; Liu J; Zhao Z; Zhao H
Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
[TBL] [Abstract][Full Text] [Related]
3. Identification of key genes and pathways for esophageal squamous cell carcinoma by bioinformatics analysis.
Chen X; Cai S; Li B; Zhang X; Li W; Linag H; Cao X
Exp Ther Med; 2018 Aug; 16(2):1121-1130. PubMed ID: 30112053
[TBL] [Abstract][Full Text] [Related]
4. Identification of key genes for laryngeal squamous cell carcinoma using weighted co-expression network analysis.
Li XT
Oncol Lett; 2016 May; 11(5):3327-3331. PubMed ID: 27123111
[TBL] [Abstract][Full Text] [Related]
5. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
6. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
Hu J; Li R; Miao H; Wen Z
J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
[TBL] [Abstract][Full Text] [Related]
7. Ranking candidate genes of esophageal squamous cell carcinomas based on differentially expressed genes and the topological properties of the co-expression network.
Shen Y; Tantai J; Zhao H
Eur J Med Res; 2014 Oct; 19(1):52. PubMed ID: 25358439
[TBL] [Abstract][Full Text] [Related]
8. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
[TBL] [Abstract][Full Text] [Related]
9. Integrated analysis of differentially expressed genes in esophageal squamous cell carcinoma using bioinformatics.
Dong Z; Zhang H; Zhan T; Xu S
Neoplasma; 2018; 65(4):523-531. PubMed ID: 30064228
[TBL] [Abstract][Full Text] [Related]
10. Identification of key genes associated with bladder cancer using gene expression profiles.
Han Y; Jin X; Zhou H; Liu B
Oncol Lett; 2018 Jan; 15(1):297-303. PubMed ID: 29375713
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of genes and signaling pathways associated with squamous cell carcinoma by bioinformatics analysis.
Shen LI; Liu L; Yang Z; Jiang N
Oncol Lett; 2016 Feb; 11(2):1382-1390. PubMed ID: 26893747
[TBL] [Abstract][Full Text] [Related]
13. Development of a prognostic nomogram based on an eight-gene signature for esophageal squamous cell carcinoma by weighted gene co-expression network analysis (WGCNA).
Xie J; Yang P; Wei H; Mai P; Yu X
Ann Transl Med; 2022 Jan; 10(2):88. PubMed ID: 35282133
[TBL] [Abstract][Full Text] [Related]
14. Identification of four genes and biological characteristics of esophageal squamous cell carcinoma by integrated bioinformatics analysis.
Song Y; Wang X; Wang F; Peng X; Li P; Liu S; Zhang D
Cancer Cell Int; 2021 Feb; 21(1):123. PubMed ID: 33602210
[TBL] [Abstract][Full Text] [Related]
15. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
16. Identification of the key transcription factors in esophageal squamous cell carcinoma.
Zhang Y; Xu Y; Li Z; Zhu Y; Wen S; Wang M; Lv H; Zhang F; Tian Z
J Thorac Dis; 2018 Jan; 10(1):148-161. PubMed ID: 29600044
[TBL] [Abstract][Full Text] [Related]
17. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
18. [Data mining of esophageal squamous cell carcinoma from The Cancer Genome Atlas database].
He SY; Wang XB; Jiao YC
Zhonghua Zhong Liu Za Zhi; 2018 Jul; 40(7):517-522. PubMed ID: 30060360
[No Abstract] [Full Text] [Related]
19. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
20. A Comparative Analysis of the Gene Expression Profiles of Small Cell Esophageal Carcinoma, Small Cell Lung Cancer, and Esophageal Adeno/Squamous Carcinoma.
Liu D; Wen J; Chen J; Wang B; Xu X; Zhang Z; Fan M
Front Surg; 2021; 8():655159. PubMed ID: 34395507
[No Abstract] [Full Text] [Related]
[Next] [New Search]
