302 related articles for article (PubMed ID: 33126397)
1. Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
Dai JJ; Zhou WB; Wang B
Medicine (Baltimore); 2020 Oct; 99(44):e23052. PubMed ID: 33126397
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
6. High Expression of
Deng H; Huang Y; Wang L; Chen M
Biomed Res Int; 2020; 2020():2071593. PubMed ID: 33134373
[TBL] [Abstract][Full Text] [Related]
7. Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma.
Liu X; Li L; Xie X; Zhuang D; Hu C
Technol Health Care; 2023; 31(2):579-592. PubMed ID: 36336945
[TBL] [Abstract][Full Text] [Related]
8. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
Ni KW; Sun GZ
Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
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. Screening of Key Prognosis Genes of Lung Adenocarcinoma Based on Expression Analysis on TCGA Database.
Shen Y; Tang X; Zhou X; Yi Y; Qiu Y; Xu J; Tian X
J Oncol; 2022; 2022():4435092. PubMed ID: 36600965
[TBL] [Abstract][Full Text] [Related]
13. Elevated TOP2A and UBE2C expressions correlate with poor prognosis in patients with surgically resected lung adenocarcinoma: a study based on immunohistochemical analysis and bioinformatics.
Guo W; Sun S; Guo L; Song P; Xue X; Zhang H; Zhang G; Wang Z; Qiu B; Tan F; Xue Q; Gao Y; Gao S; He J
J Cancer Res Clin Oncol; 2020 Apr; 146(4):821-841. PubMed ID: 32103339
[TBL] [Abstract][Full Text] [Related]
14. Identification of differentially expressed genes associated with lung adenocarcinoma via bioinformatics analysis.
Yang X; Feng Q; Jing J; Yan J; Zeng Z; Zheng H; Cheng X
Gen Physiol Biophys; 2021 Jan; 40(1):31-48. PubMed ID: 33655889
[TBL] [Abstract][Full Text] [Related]
15. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
Yu Y; Cheng J; Mei CZ; Dai YZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
[TBL] [Abstract][Full Text] [Related]
16. Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics.
Cai K; Xie Z; Liu Y; Wu J; Song H; Liu W; Wang X; Xiong Y; Gan S; Sun Y
Biomed Res Int; 2023; 2023():2152432. PubMed ID: 36714024
[TBL] [Abstract][Full Text] [Related]
17. Identification of Hub Genes of Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network in Chinese Population.
Xie Y; Wu H; Hu W; Zhang H; Li A; Zhang Z; Ren S; Zhang X
Pathol Oncol Res; 2022; 28():1610455. PubMed ID: 36032660
[No Abstract] [Full Text] [Related]
18. 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]
19. Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.
Guo T; Ma H; Zhou Y
PeerJ; 2019; 7():e7313. PubMed ID: 31333911
[TBL] [Abstract][Full Text] [Related]
20. Weighted gene coexpression network analysis identifies hub genes related to KRAS mutant lung adenocarcinoma.
Dai D; Shi R; Han S; Jin H; Wang X
Medicine (Baltimore); 2020 Aug; 99(32):e21478. PubMed ID: 32769881
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]