158 related articles for article (PubMed ID: 31886261)
1. Integration of Gene Expression Profile Data of Human Epicardial Adipose Tissue from Coronary Artery Disease to Verification of Hub Genes and Pathways.
Wang W; Liu Q; Wang Y; Piao H; Li B; Zhu Z; Li D; Wang T; Xu R; Liu K
Biomed Res Int; 2019; 2019():8567306. PubMed ID: 31886261
[TBL] [Abstract][Full Text] [Related]
2. Association of Pericardiac Adipose Tissue With Coronary Artery Disease.
Li M; Qi L; Li Y; Zhang S; Lin L; Zhou L; Han W; Qu X; Cai J; Ye M; Shi K
Front Endocrinol (Lausanne); 2021; 12():724859. PubMed ID: 34552562
[TBL] [Abstract][Full Text] [Related]
3. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
Zheng PF; Chen LZ; Guan YZ; Liu P
Sci Rep; 2021 Mar; 11(1):6711. PubMed ID: 33758323
[TBL] [Abstract][Full Text] [Related]
4. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
[TBL] [Abstract][Full Text] [Related]
5. Identification of Hub Genes and Pathways in a Rat Model of Renal Ischemia-Reperfusion Injury Using Bioinformatics Analysis of the Gene Expression Omnibus (GEO) Dataset and Integration of Gene Expression Profiles.
Guo A; Wang W; Shi H; Wang J; Liu T
Med Sci Monit; 2019 Nov; 25():8403-8411. PubMed ID: 31699960
[TBL] [Abstract][Full Text] [Related]
6. lncRNA expression profiles and associated ceRNA network analyses in epicardial adipose tissue of patients with coronary artery disease.
Wang QC; Wang ZY; Xu Q; Chen XL; Shi RZ
Sci Rep; 2021 Jan; 11(1):1567. PubMed ID: 33452392
[TBL] [Abstract][Full Text] [Related]
7. Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis.
Balashanmugam MV; Shivanandappa TB; Nagarethinam S; Vastrad B; Vastrad C
Biomolecules; 2019 Dec; 10(1):. PubMed ID: 31881747
[TBL] [Abstract][Full Text] [Related]
8. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Verification of hub genes in the expression profile of aortic dissection.
Wang W; Liu Q; Wang Y; Piao H; Li B; Zhu Z; Li D; Wang T; Xu R; Liu K
PLoS One; 2019; 14(11):e0224922. PubMed ID: 31751374
[TBL] [Abstract][Full Text] [Related]
11. Identification of Key Pathways and Genes in Advanced Coronary Atherosclerosis Using Bioinformatics Analysis.
Tan X; Zhang X; Pan L; Tian X; Dong P
Biomed Res Int; 2017; 2017():4323496. PubMed ID: 29226137
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Integrated analysis of gene expression changes associated with coronary artery disease.
Miao L; Yin RX; Huang F; Yang S; Chen WX; Wu JZ
Lipids Health Dis; 2019 Apr; 18(1):92. PubMed ID: 30961613
[TBL] [Abstract][Full Text] [Related]
14. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
Liu J; Jing L; Tu X
BMC Cardiovasc Disord; 2016 Mar; 16():54. PubMed ID: 26944061
[TBL] [Abstract][Full Text] [Related]
15. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.
Chen DQ; Kong XS; Shen XB; Huang MZ; Zheng JP; Sun J; Xu SH
Cardiovasc Ther; 2019; 2019():8490707. PubMed ID: 31772617
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes and pathways affected in epicardial adipose tissue from patients with coronary artery disease by integrated bioinformatics analysis.
Tan L; Xu Q; Wang Q; Shi R; Zhang G
PeerJ; 2020; 8():e8763. PubMed ID: 32257639
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
19. Integration of Gene Expression Profile Data to Screen and Verify Hub Genes Involved in Osteoarthritis.
Li Z; Wang Q; Chen G; Li X; Yang Q; Du Z; Ren M; Song Y; Zhang G
Biomed Res Int; 2018; 2018():9482726. PubMed ID: 30186872
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatic Analysis Combined With Experimental Validation Reveals Novel Hub Genes and Pathways Associated With Focal Segmental Glomerulosclerosis.
Hou YP; Diao TT; Xu ZH; Mao XY; Wang C; Li B
Front Mol Biosci; 2021; 8():691966. PubMed ID: 35059432
[No Abstract] [Full Text] [Related]
[Next] [New Search]