These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 37175670)

  • 1. Molecular Mechanisms Underlying the Progression of Aortic Valve Stenosis: Bioinformatic Analysis of Signal Pathways and Hub Genes.
    Tojo T; Yamaoka-Tojo M
    Int J Mol Sci; 2023 Apr; 24(9):. PubMed ID: 37175670
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring potential genes and pathways related to calcific aortic valve disease.
    Qiao E; Huang Z; Wang W
    Gene; 2022 Jan; 808():145987. PubMed ID: 34600049
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of key genes in calcific aortic valve disease via weighted gene co-expression network analysis.
    Sun JY; Hua Y; Shen H; Qu Q; Kan JY; Kong XQ; Sun W; Shen YY
    BMC Med Genomics; 2021 May; 14(1):135. PubMed ID: 34020624
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatic-based Identification of Genes Associated with Aortic Valve Stenosis.
    Song C; Wei S; Fan Y; Jiang S
    Heart Surg Forum; 2022 Jan; 25(1):E069-E078. PubMed ID: 35238312
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of key genes involved in calcific aortic valve disease based on integrated bioinformatics analysis.
    Liu YH; Liu Y; Xin YF; Zhang Q; Ding ML
    Exp Biol Med (Maywood); 2023 Jan; 248(1):52-60. PubMed ID: 36151748
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of key genes in calcific aortic valve disease by integrated bioinformatics analysis.
    Teng P; Xu X; Ni C; Yan H; Sun Q; Zhang E; Ni Y
    Medicine (Baltimore); 2020 Jul; 99(29):e21286. PubMed ID: 32702920
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying hub genes of calcific aortic valve disease and revealing the immune infiltration landscape based on multiple WGCNA and single-cell sequence analysis.
    Wang K; Zheng Q; Liu X; Geng B; Dong N; Shi J
    Front Immunol; 2022; 13():1035285. PubMed ID: 36405745
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of key genes and pathways in calcific aortic valve disease by bioinformatics analysis.
    Zhang Y; Ma L
    J Thorac Dis; 2019 Dec; 11(12):5417-5426. PubMed ID: 32030260
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Integrated Bioinformatics Analysis Predicts the Key Genes Involved in Aortic Valve Calcification: From Hemodynamic Changes to Extracellular Remodeling.
    Liu M; Luo M; Sun H; Ni B; Shao Y
    Tohoku J Exp Med; 2017 Dec; 243(4):263-273. PubMed ID: 29212967
    [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. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
    Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
    PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatiotemporal Multi-Omics Mapping Generates a Molecular Atlas of the Aortic Valve and Reveals Networks Driving Disease.
    Schlotter F; Halu A; Goto S; Blaser MC; Body SC; Lee LH; Higashi H; DeLaughter DM; Hutcheson JD; Vyas P; Pham T; Rogers MA; Sharma A; Seidman CE; Loscalzo J; Seidman JG; Aikawa M; Singh SA; Aikawa E
    Circulation; 2018 Jul; 138(4):377-393. PubMed ID: 29588317
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 16. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
    Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
    Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
    [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. Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis.
    Wei RQ; Zhang WM; Liang Z; Piao C; Zhu G
    Can Respir J; 2022; 2022():1394088. PubMed ID: 36072642
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
    Wang Y; Ma Q; Huo Z
    Medicine (Baltimore); 2021 Jun; 100(25):e26499. PubMed ID: 34160465
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.