219 related articles for article (PubMed ID: 33959662)
1. Genes That Predict Poor Prognosis in Breast Cancer via Bioinformatical Analysis.
Zhou Q; Liu X; Lv M; Sun E; Lu X; Lu C
Biomed Res Int; 2021; 2021():6649660. PubMed ID: 33959662
[TBL] [Abstract][Full Text] [Related]
2. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
[TBL] [Abstract][Full Text] [Related]
3. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
4. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
5. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
6. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
Yang Q; Yu B; Sun J
Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
8. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
Liu D; Zhang J; Li L; Wang Q; Lan Y
J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
[TBL] [Abstract][Full Text] [Related]
9. POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.
Wu Z; Wang YM; Dai Y; Chen LA
Med Sci Monit; 2020 Apr; 26():e921430. PubMed ID: 32304567
[TBL] [Abstract][Full Text] [Related]
10. Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods.
Liu J; Ma L; Chen Z; Song Y; Gu T; Liu X; Zhao H; Yao N
Ann Transl Med; 2020 Jul; 8(14):884. PubMed ID: 32793728
[TBL] [Abstract][Full Text] [Related]
11. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
12. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
13. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
14. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
15. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes and biological pathways in lung adenocarcinoma via bioinformatics analysis.
Wang Y; Zhou Z; Chen L; Li Y; Zhou Z; Chu X
Mol Cell Biochem; 2021 Feb; 476(2):931-939. PubMed ID: 33130972
[TBL] [Abstract][Full Text] [Related]
17. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
18. Identification of potential key genes for HER-2 positive breast cancer based on bioinformatics analysis.
Lin Y; Fu F; Lv J; Wang M; Li Y; Zhang J; Wang C
Medicine (Baltimore); 2020 Jan; 99(1):e18445. PubMed ID: 31895772
[TBL] [Abstract][Full Text] [Related]
19. Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis.
Yang B; Zhang M; Luo T
Front Genet; 2020; 11():517362. PubMed ID: 33193601
[TBL] [Abstract][Full Text] [Related]
20. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]