911 related articles for article (PubMed ID: 33061942)
1. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
Front Genet; 2020; 11():530892. PubMed ID: 33061942
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
6. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
7. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
Deng JL; Xu YH; Wang G
Front Genet; 2019; 10():695. PubMed ID: 31428132
[No Abstract] [Full Text] [Related]
8. Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
Hu T; Luo S; Xi Y; Tu X; Yang X; Zhang H; Feng J; Wang C; Zhang Y
Transl Androl Urol; 2021 Jan; 10(1):243-257. PubMed ID: 33532314
[TBL] [Abstract][Full Text] [Related]
9. Weighted Gene Co-expression Network Analysis Identifies Five Hub Genes Associated with Metastasis in Synovial Sarcoma.
Wu H; Zhang B; Zhao J; Zhao Y; Ma X; Feng H
Comb Chem High Throughput Screen; 2022; 25(10):1767-1777. PubMed ID: 34182903
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
[TBL] [Abstract][Full Text] [Related]
13. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
14. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
Front Genet; 2021; 12():571231. PubMed ID: 33767726
[TBL] [Abstract][Full Text] [Related]
15. Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation.
Yadav DK; Sharma A; Dube P; Shaikh S; Vaghasia H; Rawal RM
Comput Biol Med; 2022 Oct; 149():106036. PubMed ID: 36096037
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub genes associated with outcome of clear cell renal cell carcinoma.
Li R; Wang L; Wang X; Geng RX; Li N; Liu XH
Oncol Lett; 2020 Apr; 19(4):2846-2860. PubMed ID: 32218839
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Identification of key genes and pathways in Ewing's sarcoma using bioinformatics analysis.
Yan C; Wang Y; Wang Q; Feng X; Wang L; Bu Z; Lu B; Jiang J
J BUON; 2018; 23(5):1472-1480. PubMed ID: 30570875
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
20. Identification of the Hub Genes Associated with the Prognosis of Ovarian Cancer Patients via Integrated Bioinformatics Analysis and Experimental Validation.
Zhao Y; Pi J; Liu L; Yan W; Ma S; Hong L
Cancer Manag Res; 2021; 13():707-721. PubMed ID: 33542655
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
