210 related articles for article (PubMed ID: 36684561)
1. Immune-related potential biomarkers and therapeutic targets in coronary artery disease.
Liu C; Liu J; Zhang Y; Wang X; Guan Y
Front Cardiovasc Med; 2022; 9():1055422. PubMed ID: 36684561
[TBL] [Abstract][Full Text] [Related]
2. Identification of hub genes and their correlation with immune infiltration in coronary artery disease through bioinformatics and machine learning methods.
Huang KK; Zheng HL; Li S; Zeng ZY
J Thorac Dis; 2022 Jul; 14(7):2621-2634. PubMed ID: 35928610
[TBL] [Abstract][Full Text] [Related]
3. In Silico Identification of Key Genes and Immune Infiltration Characteristics in Epicardial Adipose Tissue from Patients with Coronary Artery Disease.
Deng Y; Wang X; Liu Z; Lv X; Ma B; Nie Q; Fan X; Yang Y; Ye Z; Liu P; Wen J
Biomed Res Int; 2022; 2022():5610317. PubMed ID: 36345357
[TBL] [Abstract][Full Text] [Related]
4. Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease.
Feng X; Zhang Y; Du M; Li S; Ding J; Wang J; Wang Y; Liu P
J Transl Med; 2022 Sep; 20(1):399. PubMed ID: 36064568
[TBL] [Abstract][Full Text] [Related]
5. Identification of Potential Biomarkers for Coronary Artery Disease Based on Cuproptosis.
Zhang B; He M
Cardiovasc Ther; 2023; 2023():5996144. PubMed ID: 36743388
[TBL] [Abstract][Full Text] [Related]
6. Differential expression and significance of peripheral blood genes in coronary artery heart disease.
Nong SX; Liang D; Ma X; Luo C; Li LC; Chen YS; Gui C
J Thorac Dis; 2022 Sep; 14(9):3415-3428. PubMed ID: 36245605
[TBL] [Abstract][Full Text] [Related]
7. Identification of key immune genes of osteoporosis based on bioinformatics and machine learning.
Hao S; Xinqi M; Weicheng X; Shiwei Y; Lumin C; Xiao W; Dong L; Jun H
Front Endocrinol (Lausanne); 2023; 14():1118886. PubMed ID: 37361541
[TBL] [Abstract][Full Text] [Related]
8. Immune Cell Infiltration Analysis Based on Bioinformatics Reveals Novel Biomarkers of Coronary Artery Disease.
He T; Muhetaer M; Wu J; Wan J; Hu Y; Zhang T; Wang Y; Wang Q; Cai H; Lu Z
J Inflamm Res; 2023; 16():3169-3184. PubMed ID: 37525634
[TBL] [Abstract][Full Text] [Related]
9. Identification of immune- and autophagy-related genes and effective diagnostic biomarkers in endometriosis: a bioinformatics analysis.
Ji X; Huang C; Mao H; Zhang Z; Zhang X; Yue B; Li X; Wu Q
Ann Transl Med; 2022 Dec; 10(24):1397. PubMed ID: 36660690
[TBL] [Abstract][Full Text] [Related]
10. Identification of key genes in coronary artery disease: an integrative approach based on weighted gene co-expression network analysis and their correlation with immune infiltration.
Yang Y; Xu X
Aging (Albany NY); 2021 Mar; 13(6):8306-8319. PubMed ID: 33686958
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration.
Jiang Z; Luo Y; Wei L; Gu R; Zhang X; Zhou Y; Zhang S
Biomedicines; 2023 Jun; 11(7):. PubMed ID: 37509492
[TBL] [Abstract][Full Text] [Related]
12. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.
Zhang Q; Guo Y; Zhang B; Liu H; Peng Y; Wang D; Zhang D
Front Cardiovasc Med; 2022; 9():939972. PubMed ID: 35958412
[TBL] [Abstract][Full Text] [Related]
13. Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targets.
Geng R; Huang X; Li L; Guo X; Wang Q; Zheng Y; Guo X
Front Immunol; 2022; 13():1037504. PubMed ID: 36532015
[TBL] [Abstract][Full Text] [Related]
14. Development of a Novel Inflammatory-Associated Gene Signature and Immune Infiltration Patterns in Intervertebral Disc Degeneration.
Lan T; Hu Z; Guo W; Yan B; Zhang Y
Oxid Med Cell Longev; 2022; 2022():2481071. PubMed ID: 36193061
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic biomarkers and potential drug targets for coronary artery disease as revealed by systematic analysis of lncRNA characteristics.
Chen Z; Zhou D; Zhang X; Wu Q; Wu G
Ann Transl Med; 2021 Aug; 9(15):1243. PubMed ID: 34532380
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification and Verification of Feature Immune-Related Genes in Patients With Hypertrophic Cardiomyopathy Based on Bioinformatics Analyses.
Zheng X; Liu G; Huang R
Front Cardiovasc Med; 2021; 8():752559. PubMed ID: 34765659
[No Abstract] [Full Text] [Related]
18. Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning.
Liu J; Liu L; Antwi PA; Luo Y; Liang F
Front Genet; 2022; 13():858466. PubMed ID: 35719392
[No Abstract] [Full Text] [Related]
19. Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.
Zhang YJ; Huang C; Zu XG; Liu JM; Li YJ
J Inflamm Res; 2024; 17():223-249. PubMed ID: 38229693
[TBL] [Abstract][Full Text] [Related]
20. Role of serum cytokines in the prediction of heart failure in patients with coronary artery disease.
Hou Q; Sun Z; Zhao L; Liu Y; Zhang J; Huang J; Luo Y; Xiao Y; Hu Z; Shen A
ESC Heart Fail; 2023 Oct; 10(5):3102-3113. PubMed ID: 37608687
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
