179 related articles for article (PubMed ID: 36286305)
1. Bioinformatics Analysis of Common Differential Genes of Viral Myocarditis and Dilated Cardiomyopathy: Screening for Potential Pharmacological Compounds.
Zhang J; Xu M; Chen T; Zhou Y
J Cardiovasc Dev Dis; 2022 Oct; 9(10):. PubMed ID: 36286305
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of the communal pathogenesis and immune landscape between viral myocarditis and dilated cardiomyopathy.
Lei Z; Cao J; Wu J; Lu Y; Ni L; Hu X
ESC Heart Fail; 2024 Feb; 11(1):282-292. PubMed ID: 37967839
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics prediction of potential mechanisms and biomarkers underlying dilated cardiomyopathy.
Liu Z; Song YN; Chen KY; Gao WL; Chen HJ; Liang GY
World J Cardiol; 2022 May; 14(5):282-296. PubMed ID: 35702326
[TBL] [Abstract][Full Text] [Related]
5. Integrative bioinformatics analysis of potential therapeutic targets and immune infiltration characteristics in dilated cardiomyopathy.
Yang Y; Liu P; Teng R; Liu F; Zhang C; Lu X; Ding Y
Ann Transl Med; 2022 Mar; 10(6):348. PubMed ID: 35433958
[TBL] [Abstract][Full Text] [Related]
6. Investigating possible dilated cardiomyopathy targets via bioinformatic analysis.
Zhou J; Wang X; Xiong W; Zhang M
Am J Transl Res; 2023; 15(7):4788-4795. PubMed ID: 37560246
[TBL] [Abstract][Full Text] [Related]
7. Exploring the pathogenesis and immune infiltration in dilated cardiomyopathy complicated with atrial fibrillation by bioinformatics analysis.
Gan T; Hu J; Aledan AKO; Liu W; Li C; Lu S; Wang Y; Xu Q; Wang Y; Wang Z
Front Immunol; 2023; 14():1049351. PubMed ID: 36733486
[TBL] [Abstract][Full Text] [Related]
8. Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using Bioinformatics Analysis.
Xing X; Xia Q; Gong B; Shen Z; Zhang Y
Front Genet; 2022; 13():855557. PubMed ID: 35368701
[No Abstract] [Full Text] [Related]
9. Integrated analysis of differentially expressed genes and miRNA expression profiles in dilated cardiomyopathy.
Chen Y; Cai WK; Yu J; Shen M; Zhou JH; Yang SY; Liu W; Lu S; Shi YK; Yang LX
Heliyon; 2024 Feb; 10(4):e25569. PubMed ID: 38384527
[TBL] [Abstract][Full Text] [Related]
10. Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis.
Zhu T; Wang M; Quan J; Du Z; Li Q; Xie Y; Lin M; Xu C; Xie Y
Front Genet; 2022; 13():874544. PubMed ID: 35646094
[No Abstract] [Full Text] [Related]
11. Exploring the Communal Pathogenesis, Ferroptosis Mechanism, and Potential Therapeutic Targets of Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy
Wang Z; Xia Q; Su W; Cao M; Sun Y; Zhang M; Chen W; Jiang T
Front Cardiovasc Med; 2022; 9():824756. PubMed ID: 35282347
[TBL] [Abstract][Full Text] [Related]
12. Alterated gene expression in dilated cardiomyopathy after left ventricular assist device support by bioinformatics analysis.
Wei Y; Cao H; Peng YY; Zhang B
Front Cardiovasc Med; 2023; 10():1013057. PubMed ID: 37008310
[TBL] [Abstract][Full Text] [Related]
13. Identification of key genes for hypertrophic cardiomyopathy using integrated network analysis of differential lncRNA and gene expression.
Cao J; Yuan L
Front Cardiovasc Med; 2022; 9():946229. PubMed ID: 35990977
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis for identifying micro-RNAs, long noncoding RNAs, transcription factors, and immune genes regulatory networks in diabetic cardiomyopathy using an integrated bioinformatics analysis.
Zhou J; Ji X; Zhang F; Yan K; Huang P; Huang C
Inflamm Res; 2022 Aug; 71(7-8):847-858. PubMed ID: 35438360
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Transcriptomic and ChIP-seq Integrative Analysis Identifies KDM5A-Target Genes in Cardiac Fibroblasts.
Jiang Y; Zhang X; Wei T; Qi X; Abba IA; Zhang N; Chen Y; Wang R; Shi C
Front Cardiovasc Med; 2022; 9():929030. PubMed ID: 35845066
[TBL] [Abstract][Full Text] [Related]
17. Identifying hub genes and miRNAs in Crohn's disease by bioinformatics analysis.
Sun Y; Cai D; Hu W; Fang T
Front Genet; 2022; 13():950136. PubMed ID: 36118873
[No Abstract] [Full Text] [Related]
18. Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy.
Cao J; Liu Z; Liu J; Li C; Zhang G; Shi R
Int J Gen Med; 2021; 14():5927-5937. PubMed ID: 34584445
[TBL] [Abstract][Full Text] [Related]
19. Machine learning and bioinformatics to identify 8 autophagy-related biomarkers and construct gene regulatory networks in dilated cardiomyopathy.
Zhang F; Xia M; Jiang J; Wang S; Zhao Q; Yu C; Yu J; Xian D; Li X; Zhang L; Liu Y; Peng M
Sci Rep; 2022 Sep; 12(1):15030. PubMed ID: 36056063
[TBL] [Abstract][Full Text] [Related]
20. Role of mitochondrial metabolic disorder and immune infiltration in diabetic cardiomyopathy: new insights from bioinformatics analysis.
Peng C; Zhang Y; Lang X; Zhang Y
J Transl Med; 2023 Feb; 21(1):66. PubMed ID: 36726122
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
