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 *

210 related articles for article (PubMed ID: 31059043)

  • 1. Identification of time‑series differentially expressed genes and pathways associated with heart failure post‑myocardial infarction using integrated bioinformatics analysis.
    Li X; Li B; Jiang H
    Mol Med Rep; 2019 Jun; 19(6):5281-5290. PubMed ID: 31059043
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
    Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
    Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
    Lin J; Wu G; Zhao Z; Huang Y; Chen J; Fu C; Ye J; Liu X
    Mol Med Rep; 2018 Dec; 18(6):5594-5602. PubMed ID: 30365099
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods.
    Guo S; Wu J; Zhou W; Liu X; Liu Y; Zhang J; Jia S; Li J; Wang H
    Medicine (Baltimore); 2021 Apr; 100(15):e25553. PubMed ID: 33847684
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Uncovering the differentially expressed genes and pathways involved in the progression of stable coronary artery disease to acute myocardial infarction using bioinformatics analysis.
    Xiao SJ; Zhou YF; Wu Q; Ma WR; Chen ML; Pan DF
    Eur Rev Med Pharmacol Sci; 2021 Jan; 25(1):301-312. PubMed ID: 33506919
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods.
    Shao X; Bao W; Hong X; Jiang H; Yu Z
    Mol Med Rep; 2018 Aug; 18(2):1513-1523. PubMed ID: 29901134
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Peripheral neutrophils and naive CD4 T cells predict the development of heart failure following acute myocardial infarction: A bioinformatic study.
    Yu C; Zhou W
    Rev Port Cardiol (Engl Ed); 2021 Nov; 40(11):839-847. PubMed ID: 34857156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Identification of genes and pathways associated with multiple organ dysfunction syndrome by microarray analysis.
    Gu C; Qiao W; Wang L; Li M; Song K
    Mol Med Rep; 2018 Jul; 18(1):31-40. PubMed ID: 29749505
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of Transcription Factor-Gene Regulatory Network in Acute Myocardial Infarction.
    Cao Y; Li R; Li Y; Zhang T; Wu N; Zhang J; Guo Z
    Heart Lung Circ; 2017 Apr; 26(4):343-353. PubMed ID: 27746059
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of differentially expressed genes and enriched pathways in lung cancer using bioinformatics analysis.
    Long T; Liu Z; Zhou X; Yu S; Tian H; Bao Y
    Mol Med Rep; 2019 Mar; 19(3):2029-2040. PubMed ID: 30664219
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
    Wang Y; Zhang Y; Huang Q; Li C
    Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
    Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
    Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 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 11.