209 related articles for article (PubMed ID: 38006610)
1. Prediction of diagnostic gene biomarkers for hypertrophic cardiomyopathy by integrated machine learning.
You H; Dong M
J Int Med Res; 2023 Nov; 51(11):3000605231213781. PubMed ID: 38006610
[TBL] [Abstract][Full Text] [Related]
2. Identification of Potential Diagnostic Biomarkers and Biological Pathways in Hypertrophic Cardiomyopathy Based on Bioinformatics Analysis.
Yu T; Huang Z; Pu Z
Genes (Basel); 2022 Mar; 13(3):. PubMed ID: 35328083
[TBL] [Abstract][Full Text] [Related]
3. Identification and verification of promising diagnostic biomarkers in patients with hypertrophic cardiomyopathy associate with immune cell infiltration characteristics.
Zheng X; Yang Y; Huang Fu C; Huang R
Life Sci; 2021 Nov; 285():119956. PubMed ID: 34520765
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Dysfunctional Network and Mutation Genes of Hypertrophic Cardiomyopathy.
Cui Y; Liu C; Luo J; Liang J
J Healthc Eng; 2022; 2022():8680178. PubMed ID: 35126952
[TBL] [Abstract][Full Text] [Related]
6. Identification of the Immune Status of Hypertrophic Cardiomyopathy by Integrated Analysis of Bulk- and Single-Cell RNA Sequencing Data.
Zhao W; Wu T; Zhan J; Dong Z
Comput Math Methods Med; 2022; 2022():7153491. PubMed ID: 36238494
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Characterization of the circulating transcriptome expression profile and identification of novel miRNA biomarkers in hypertrophic cardiomyopathy.
Guo L; Cai Y; Wang B; Zhang F; Zhao H; Liu L; Tao L
Eur J Med Res; 2023 Jun; 28(1):205. PubMed ID: 37391825
[TBL] [Abstract][Full Text] [Related]
9. Identification and validation of pyroptosis-related genes as potential biomarkers for hypertrophic cardiomyopathy: A comprehensive bioinformatics analysis.
Tang X; Shen Y; Lu Y; He W; Nie Y; Fang X; Cai J; Si X; Zhu Y
Medicine (Baltimore); 2024 Jan; 103(4):e36799. PubMed ID: 38277535
[TBL] [Abstract][Full Text] [Related]
10. Identification and verification of IGFBP3 and YTHDC1 as biomarkers associated with immune infiltration and mitophagy in hypertrophic cardiomyopathy.
Li Y; Zhang W; Dai Y; Chen K
Front Genet; 2022; 13():986995. PubMed ID: 36267414
[No Abstract] [Full Text] [Related]
11. Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis.
Ma Z; Wang X; Lv Q; Gong Y; Xia M; Zhuang L; Lu X; Yang Y; Zhang W; Fu G; Ye Y; Lai D
Pharmgenomics Pers Med; 2021; 14():823-837. PubMed ID: 34285551
[TBL] [Abstract][Full Text] [Related]
12. Potential biomarkers and immune cell infiltration involved in aortic valve calcification identified through integrated bioinformatics analysis.
Lv X; Wang X; Liu J; Wang F; Sun M; Fan X; Ye Z; Liu P; Wen J
Front Physiol; 2022; 13():944551. PubMed ID: 36589450
[No Abstract] [Full Text] [Related]
13. Integrated multiple microarray studies by robust rank aggregation to identify immune-associated biomarkers in Crohn's disease based on three machine learning methods.
Chen ZA; Ma HH; Wang Y; Tian H; Mi JW; Yao DM; Yang CJ
Sci Rep; 2023 Feb; 13(1):2694. PubMed ID: 36792688
[TBL] [Abstract][Full Text] [Related]
14. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
15. Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis.
Wang L; Yang Z; Yu H; Lin W; Wu R; Yang H; Yang K
Front Immunol; 2022; 13():839197. PubMed ID: 36532018
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics and Immune Infiltration Analyses Reveal the Key Pathway and Immune Cells in the Pathogenesis of Hypertrophic Cardiomyopathy.
Zhang XZ; Zhang S; Tang TT; Cheng X
Front Cardiovasc Med; 2021; 8():696321. PubMed ID: 34497835
[No Abstract] [Full Text] [Related]
17. 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]
18. Bioinformatics analysis of the regulatory lncRNA‑miRNA‑mRNA network and drug prediction in patients with hypertrophic cardiomyopathy.
Li J; Wu Z; Zheng D; Sun Y; Wang S; Yan Y
Mol Med Rep; 2019 Jul; 20(1):549-558. PubMed ID: 31180540
[TBL] [Abstract][Full Text] [Related]
19. Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning.
Zhang WY; Chen ZH; An XX; Li H; Zhang HL; Wu SJ; Guo YQ; Zhang K; Zeng CL; Fang XM
World J Pediatr; 2023 Nov; 19(11):1094-1103. PubMed ID: 37115484
[TBL] [Abstract][Full Text] [Related]
20. Identification of potential biomarkers of inflammation-related genes for ischemic cardiomyopathy.
Wang J; Xie S; Cheng Y; Li X; Chen J; Zhu M
Front Cardiovasc Med; 2022; 9():972274. PubMed ID: 36082132
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]