620 related articles for article (PubMed ID: 32493063)
1. Identification of Differentially Expressed Genes Associated with Idiopathic Pulmonary Arterial Hypertension by Integrated Bioinformatics Approaches.
Zhao E; Xie H; Zhang Y
J Comput Biol; 2021 Jan; 28(1):79-88. PubMed ID: 32493063
[TBL] [Abstract][Full Text] [Related]
2. Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis.
Zeng Y; Li N; Zheng Z; Chen R; Liu W; Cheng J; Zhu J; Zeng M; Peng M; Hong C
Bioengineered; 2021 Dec; 12(1):2576-2591. PubMed ID: 34233597
[TBL] [Abstract][Full Text] [Related]
3. Screening of Hub Genes Associated with Pulmonary Arterial Hypertension by Integrated Bioinformatic Analysis.
Zeng Y; Li N; Zheng Z; Chen R; Peng M; Liu W; Zhu J; Zeng M; Cheng J; Hong C
Biomed Res Int; 2021; 2021():6626094. PubMed ID: 33816621
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Essential Genes and MiRNA-mRNA Network Contributing to the Pathogenesis of Idiopathic Pulmonary Arterial Hypertension.
Hao S; Jiang P; Xie L; Xiang G; Liu Z; Hu W; Wu Q; Jiang L; Xiao Y; Li S
Front Cardiovasc Med; 2021; 8():627873. PubMed ID: 34026864
[No Abstract] [Full Text] [Related]
6. 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]
7. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
8. The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis.
Wu W; Chen A; Lin S; Wang Q; Lian G; Luo L; Xie L
BMC Pulm Med; 2022 Dec; 22(1):474. PubMed ID: 36514015
[TBL] [Abstract][Full Text] [Related]
9. Identification of differentially expressed genes associated with coronary in-stent restenosis by integrated bioinformatics approaches.
Chen M; Dun Y; Zhang W; Liu S
Ann Palliat Med; 2022 Jun; 11(6):1940-1953. PubMed ID: 35144391
[TBL] [Abstract][Full Text] [Related]
10. Comprehensive Analyses of miRNA-mRNA Network and Potential Drugs in Idiopathic Pulmonary Arterial Hypertension.
Li C; Zhang Z; Xu Q; Shi R
Biomed Res Int; 2020; 2020():5156304. PubMed ID: 32714978
[TBL] [Abstract][Full Text] [Related]
11. Identification of Crucial Hub Genes and Differential T Cell Infiltration in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Strategies.
Yang X; Wang C; Lin Y; Zhang P
Front Mol Biosci; 2022; 9():800888. PubMed ID: 35127829
[No Abstract] [Full Text] [Related]
12. Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy.
Ning YL; Yang ZQ; Xian SX; Lin JZ; Lin XF; Chen WT
Med Sci Monit; 2020 Feb; 26():e919665. PubMed ID: 32008037
[TBL] [Abstract][Full Text] [Related]
13. Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.
Du Y; Li J; Wu J; Zeng F; He C
Clin Rheumatol; 2022 Sep; 41(9):2765-2777. PubMed ID: 35562622
[TBL] [Abstract][Full Text] [Related]
14. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
Li L; Lv J; He Y; Wang Z
BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
16. Identification of Potential Risk Genes and the Immune Landscape of Idiopathic Pulmonary Arterial Hypertension via Microarray Gene Expression Dataset Reanalysis.
Xu J; Yang Y; Yang Y; Xiong C
Genes (Basel); 2021 Jan; 12(1):. PubMed ID: 33478117
[TBL] [Abstract][Full Text] [Related]
17. An integrative bioinformatics analysis of microarray data for identifying hub genes as diagnostic biomarkers of preeclampsia.
Liu K; Fu Q; Liu Y; Wang C
Biosci Rep; 2019 Sep; 39(9):. PubMed ID: 31416885
[TBL] [Abstract][Full Text] [Related]
18. Identification of Potential Biomarkers and Immune Infiltration Characteristics in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Analysis.
Zeng H; Liu X; Zhang Y
Front Cardiovasc Med; 2021; 8():624714. PubMed ID: 33598484
[No Abstract] [Full Text] [Related]
19. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
20. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
