217 related articles for article (PubMed ID: 32192517)
1. Integrated analysis of gene expression and DNA methylation profiles in ovarian cancer.
Gong G; Lin T; Yuan Y
J Ovarian Res; 2020 Mar; 13(1):30. PubMed ID: 32192517
[TBL] [Abstract][Full Text] [Related]
2. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
5. DNA methylation biomarkers for nasopharyngeal carcinoma.
Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
Sang L; Wang XM; Xu DY; Zhao WJ
World J Gastroenterol; 2018 Jun; 24(24):2605-2616. PubMed ID: 29962817
[TBL] [Abstract][Full Text] [Related]
7. In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.
Gadwal A; Purohit P; Khokhar M; Vishnoi JR; Pareek P; Choudhary R; Elhence P; Banerjee M; Sharma P
Clin Exp Med; 2023 Nov; 23(7):3847-3866. PubMed ID: 37029310
[TBL] [Abstract][Full Text] [Related]
8. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
9. Identification of potential DNA methylation biomarkers related to diagnosis in patients with bladder cancer through integrated bioinformatic analysis.
Cheng H; Liu Y; Chen G
BMC Urol; 2023 Aug; 23(1):135. PubMed ID: 37563710
[TBL] [Abstract][Full Text] [Related]
10. In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.
Khedkar HN; Wang YC; Yadav VK; Srivastava P; Lawal B; Mokgautsi N; Sumitra MR; Wu ATH; Huang HS
Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34072728
[TBL] [Abstract][Full Text] [Related]
11. Significant prognostic values of differentially expressed-aberrantly methylated hub genes in breast cancer.
Qi L; Zhou B; Chen J; Hu W; Bai R; Ye C; Weng X; Zheng S
J Cancer; 2019; 10(26):6618-6634. PubMed ID: 31777591
[No Abstract] [Full Text] [Related]
12. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
13. Integrative analysis of key candidate genes and signaling pathways in ovarian cancer by bioinformatics.
Dong C; Tian X; He F; Zhang J; Cui X; He Q; Si P; Shen Y
J Ovarian Res; 2021 Jul; 14(1):92. PubMed ID: 34253236
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Integrated Bioinformatics Analysis for Identification of the Hub Genes Linked with Prognosis of Ovarian Cancer Patients.
Li X; Wang Q; Wu Z; Zheng J; Ji L
Comput Math Methods Med; 2022; 2022():5113447. PubMed ID: 35047055
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
19. Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma.
Zhen L; Ning G; Wu L; Zheng Y; Yang F; Chen T; Xu W; Liu Y; Xie C; Peng L
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32955083
[TBL] [Abstract][Full Text] [Related]
20. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
