BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 31269974)

  • 1. Identification of key genes involved in myocardial infarction.
    Qiu L; Liu X
    Eur J Med Res; 2019 Jul; 24(1):22. PubMed ID: 31269974
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Analysis and validation of hub genes in neutrophil extracellular traps for the long-term prognosis of myocardial infarction.
    Li X; Wu W; He H; Guan L; Chen G; Lin Z; Li H; Jiang J; Dong X; Guan Z; Chen P; Pan Z; Huang W; Yu R; Song W; Lu L; Yang Z; Chen Z; Wang L; Xian S; Chen J
    Gene; 2024 Jul; 914():148369. PubMed ID: 38485036
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis.
    Mujalli A; Banaganapalli B; Alrayes NM; Shaik NA; Elango R; Al-Aama JY
    Genomics; 2020 Nov; 112(6):5072-5085. PubMed ID: 32920122
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Biomarkers for Early Diagnosis of Acute Myocardial Infarction.
    Ge WH; Lin Y; Li S; Zong X; Ge ZC
    J Cell Biochem; 2018 Jan; 119(1):650-658. PubMed ID: 28636181
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of gene expression profiles in myocardial infarction: a systematic review and meta-analysis.
    Kontou P; Pavlopoulou A; Braliou G; Bogiatzi S; Dimou N; Bangalore S; Bagos P
    BMC Med Genomics; 2018 Nov; 11(1):109. PubMed ID: 30482209
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction.
    Zheng Y; Gong Y; Lang Y; Qi Z; Hu X; Li T
    Dis Markers; 2021; 2021():4300406. PubMed ID: 34925642
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics analysis of key genes and signaling pathways associated with myocardial infarction following telomerase activation.
    Yang Y; Yang G; Du H; Dong N; Yu B
    Mol Med Rep; 2017 Sep; 16(3):2915-2924. PubMed ID: 28713962
    [TBL] [Abstract][Full Text] [Related]  

  • 9.
    Xiao S; Zhou Y; Wu Q; Liu Q; Chen M; Zhang T; Zhu H; Liu J; Yin T; Pan D
    DNA Cell Biol; 2021 Aug; 40(8):1064-1075. PubMed ID: 34115526
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Candidate Genes and MicroRNAs for Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis.
    Li Y; He XN; Li C; Gong L; Liu M
    Biomed Res Int; 2019; 2019():5742608. PubMed ID: 30886860
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction.
    Fang HZ; Hu DL; Li Q; Tu S
    Mol Med Rep; 2020 Sep; 22(3):1775-1782. PubMed ID: 32705275
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bioinformatics Analyses of Differentially Expressed Genes Associated with Acute Myocardial Infarction.
    Gao Y; Qi GX; Guo L; Sun YX
    Cardiovasc Ther; 2016 Apr; 34(2):67-75. PubMed ID: 26725916
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Interaction network analysis revealed biomarkers in myocardial infarction.
    Zhang T; Zhao LL; Zhang ZR; Fu PD; Su ZD; Qi LC; Li XQ; Dong YM
    Mol Biol Rep; 2014 Aug; 41(8):4997-5003. PubMed ID: 24748432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of Gene Expression During the Development of Congestive Heart Failure After Myocardial Infarction in Rat Models.
    Yu Z; Zhang H; Yu M; Ye Q
    Int Heart J; 2015; 56(4):444-9. PubMed ID: 26104178
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Genetic Biomarkers for Diagnosis of Myocardial Infarction Compared with Angina Patients.
    Zhang Y; Tian C; Liu X; Zhang H
    Cardiovasc Ther; 2020; 2020():8535314. PubMed ID: 33224271
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening genes associated with myocardial infarction and transverse aortic constriction using a combined analysis of miRNA and mRNA microarray.
    Wang M; Luo J; Wan L; Hu T; Li S; Zhan C
    Gene; 2015 Oct; 571(2):245-8. PubMed ID: 26250077
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
    Hu S; Liao Y; Chen L
    Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
    [TBL] [Abstract][Full Text] [Related]  

  • 19. KLRD1, FOSL2 and LILRB3 as potential biomarkers for plaques progression in acute myocardial infarction and stable coronary artery disease.
    Zhang Q; Zheng Y; Ning M; Li T
    BMC Cardiovasc Disord; 2021 Jul; 21(1):344. PubMed ID: 34271875
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.