BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 38115252)

  • 1. Identification of hub genes and drug candidates for NF2-related vestibular schwannoma by bioinformatics tools.
    Yuan J; Fu Y; Liu Y
    Medicine (Baltimore); 2023 Dec; 102(50):e36696. PubMed ID: 38115252
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated Analysis of Transcriptome and Differential Methylation of Neurofibromatosis Type 2 Vestibular Schwannomas.
    Shi J; Lu D; Gu R; Xie J; Yu L; Sun X; Zhang Y
    World Neurosurg; 2022 Jan; 157():e66-e76. PubMed ID: 34587518
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Gene Expression, Network Analysis, and Drug Discovery of Neurofibromatosis Type 2-Associated Vestibular Schwannomas Based on Bioinformatics Analysis.
    Huang Q; Zhai SJ; Liao XW; Liu YC; Yin SH
    J Oncol; 2020; 2020():5976465. PubMed ID: 32733557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key genes and immune infiltration based on weighted gene co-expression network analysis in vestibular schwannoma.
    Fu Y; Zhu Y; Guo L; Liu Y
    Medicine (Baltimore); 2023 Apr; 102(14):e33470. PubMed ID: 37026948
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
    Chen B; Hua Z; Qin X; Li Z
    Neurochem Res; 2021 Feb; 46(2):197-212. PubMed ID: 33104965
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
    Lin S; Wu J; Chen B; Li S; Huang H
    Front Endocrinol (Lausanne); 2022; 13():844218. PubMed ID: 35620387
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.
    Du Y; Li J; Wu J; Zeng F; He C
    Clin Rheumatol; 2022 Sep; 41(9):2765-2777. PubMed ID: 35562622
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying possible hub genes and biological mechanisms shared between bladder cancer and inflammatory bowel disease using machine learning and integrated bioinformatics.
    Liu J; Wu P; Lai S; Wang J; Wang J; Zhang Y
    J Cancer Res Clin Oncol; 2023 Dec; 149(18):16885-16904. PubMed ID: 37740761
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis.
    Hu Y; Yu Y; Dong H; Jiang W
    PeerJ; 2023; 11():e15437. PubMed ID: 37250717
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
    Cui Z; Song Q; Chen Y; Yang K
    Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
    Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
    Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.
    Gao X; Zhao D; Han J; Zhang Z; Wang Z
    BMC Oral Health; 2022 Apr; 22(1):118. PubMed ID: 35397550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
    Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
    BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of Key Biomarkers and Immune Infiltration in Sporadic Vestibular Schwannoma Basing Transcriptome-Wide Profiling.
    Shi J; Lu D; Gu R; Xu Y; Pan R; Bo F; Zhang Y
    World Neurosurg; 2022 Apr; 160():e591-e600. PubMed ID: 35092815
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
    Guo M; Dai Y; Jiang L; Gao J
    Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of vital modules and genes associated with heart failure based on weighted gene coexpression network analysis.
    Bian W; Wang Z; Li X; Jiang XX; Zhang H; Liu Z; Zhang DM
    ESC Heart Fail; 2022 Apr; 9(2):1370-1379. PubMed ID: 35128826
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.