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 *

184 related articles for article (PubMed ID: 28765971)

  • 1. Identification of key genes and pathways in Parkinson's disease through integrated analysis.
    Wang J; Liu Y; Chen T
    Mol Med Rep; 2017 Oct; 16(4):3769-3776. PubMed ID: 28765971
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Integrated Network Analysis of mRNA and Gene Expression Profiles in Parkinson's Disease.
    Wang Y; Wang Z
    Med Sci Monit; 2020 Mar; 26():e920846. PubMed ID: 32210219
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
    Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
    Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.
    Jin X; Li J; Li W; Wang X; Du C; Geng Z; Geng Y; Kang L; Zhang X; Wang M; Tian S
    Neurosci Lett; 2020 May; 728():134950. PubMed ID: 32276105
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
    Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
    Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of crucial genes associated with Parkinson's disease using microarray data.
    Sun Y; Ye L; Zheng Y; Yang Z
    Mol Med Rep; 2018 Mar; 17(3):3775-3782. PubMed ID: 29257331
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gene expression profiling predicts pathways and genes associated with Parkinson's disease.
    Liu S; Zhang Y; Bian H; Li X
    Neurol Sci; 2016 Jan; 37(1):73-79. PubMed ID: 26269422
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
    Chen X; Cao W; Zhuang Y; Chen S; Li X
    Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bioinformatics analysis and identification of genes and molecular pathways involved in Parkinson's disease in patients with mutations in the glucocerebrosidase gene.
    Xu DD; Li GQ; Wu ZS; Liu XQ; Yang XX; Wang JH
    Neuroreport; 2021 Aug; 32(11):918-924. PubMed ID: 34132705
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying the hub gene and immune infiltration of Parkinson's disease using bioinformatical methods.
    Liu SH; Wang YL; Jiang SM; Wan XJ; Yan JH; Liu CF
    Brain Res; 2022 Jun; 1785():147879. PubMed ID: 35278479
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Related Network and Differential Expression Analyses Identify Nuclear Genes and Pathways in the Hippocampus of Alzheimer Disease.
    Quan X; Liang H; Chen Y; Qin Q; Wei Y; Liang Z
    Med Sci Monit; 2020 Jan; 26():e919311. PubMed ID: 31989994
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Potential Key Genes Associated with Adipogenesis through Integrated Analysis of Five Mouse Transcriptome Datasets.
    Zhang S; Wang L; Li S; Zhang W; Ma X; Cheng G; Yang W; Zan L
    Int J Mol Sci; 2018 Nov; 19(11):. PubMed ID: 30424473
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key candidate genes involved in melanoma metastasis.
    Chen J; Wu F; Shi Y; Yang D; Xu M; Lai Y; Liu Y
    Mol Med Rep; 2019 Aug; 20(2):903-914. PubMed ID: 31173190
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.
    Wu R; Long L; Zhou Q; Su J; Su W; Zhu J
    J Orthop Surg Res; 2021 Jul; 16(1):458. PubMed ID: 34271942
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 19. Weighted Gene Coexpression Network Analysis Uncovers Critical Genes and Pathways for Multiple Brain Regions in Parkinson's Disease.
    Huang J; Liu L; Qin L; Huang H; Li X
    Biomed Res Int; 2021; 2021():6616434. PubMed ID: 33791366
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated microarray analysis provided novel insights to the pathogenesis of glaucoma.
    Wang J; Qu D; An J; Yuan G; Liu Y
    Mol Med Rep; 2017 Dec; 16(6):8735-8746. PubMed ID: 28990066
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.