223 related articles for article (PubMed ID: 32258155)
1. 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]
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 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]
4. 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]
5. Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.
Wang D; Liu Y; Cheng S; Liu G
Med Sci Monit; 2022 Apr; 28():e934799. PubMed ID: 35428744
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Screening and Discovery of New Potential Biomarkers and Small Molecule Drugs for Cervical Cancer: A Bioinformatics Analysis.
Qiu HZ; Huang J; Xiang CC; Li R; Zuo ED; Zhang Y; Shan L; Cheng X
Technol Cancer Res Treat; 2020; 19():1533033820980112. PubMed ID: 33302814
[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. Screening and verifying key genes with poor prognosis in colon cancer through bioinformatics analysis.
Dong B; Chai M; Chen H; Feng Q; Jin R; Hu S
Transl Cancer Res; 2020 Nov; 9(11):6720-6732. PubMed ID: 35117282
[TBL] [Abstract][Full Text] [Related]
14. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
15. KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.
Chen J; Liu C; Cen J; Liang T; Xue J; Zeng H; Zhang Z; Xu G; Yu C; Lu Z; Wang Z; Jiang J; Zhan X; Zeng J
Medicine (Baltimore); 2020 May; 99(18):e19986. PubMed ID: 32358373
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.
Liu J; Li S; Lin L; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Biomark; 2020; 27(2):213-223. PubMed ID: 32083574
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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]
[Next] [New Search]