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Journal Abstract Search

321 related items for PubMed ID: 26218802

  • 1. Identification of crucial genes in ventilator associated pneumonia through protein-protein interaction network.
    Xu X, Yuan B, Shi Z, Liang Q, Huang H, Yin X, Sheng X, Nie N, Fang H.
    Exp Lung Res; 2015; 41(6):316-23. PubMed ID: 26218802
    [Abstract] [Full Text] [Related]

  • 2. Gene expression profile analysis of ventilator-associated pneumonia.
    Xu X, Yuan B, Liang Q, Huang H, Yin X, Sheng X, Nie N, Fang H.
    Mol Med Rep; 2015 Nov; 12(5):7455-62. PubMed ID: 26459786
    [Abstract] [Full Text] [Related]

  • 3. Identification crucial genes in peripheral neuropathic pain induced by spared nerve injury.
    Yang YK, Lu XB, Wang YH, Yang MM, Jiang DM.
    Eur Rev Med Pharmacol Sci; 2014 Nov; 18(15):2152-9. PubMed ID: 25070821
    [Abstract] [Full Text] [Related]

  • 4. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
    Liang S, Zhang JM, Lv ZT, Cheng P, Zhu WT, Chen AM.
    Gene; 2018 Nov 30; 677():340-348. PubMed ID: 30107230
    [Abstract] [Full Text] [Related]

  • 5. Predicting of disease genes for gestational diabetes mellitus based on network and functional consistency.
    Zhang Q, He M, Wang J, Liu S, Cheng H, Cheng Y.
    Eur J Obstet Gynecol Reprod Biol; 2015 Mar 30; 186():91-6. PubMed ID: 25666344
    [Abstract] [Full Text] [Related]

  • 6. Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods.
    Song L, Yao J, He Z, Xu B.
    BMC Oral Health; 2015 Sep 04; 15():105. PubMed ID: 26334995
    [Abstract] [Full Text] [Related]

  • 7. Combined Use of Three Machine Learning Modeling Methods to Develop a Ten-Gene Signature for the Diagnosis of Ventilator-Associated Pneumonia.
    Cai Y, Zhang W, Zhang R, Cui X, Fang J.
    Med Sci Monit; 2020 Feb 07; 26():e919035. PubMed ID: 32031163
    [Abstract] [Full Text] [Related]

  • 8. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
    Gao X, Wang X, Zhang S.
    Biosci Rep; 2018 Dec 21; 38(6):. PubMed ID: 30341252
    [Abstract] [Full Text] [Related]

  • 9. Comprehensive analysis of genes, pathways, and TFs in nonsmoking Taiwan females with lung cancer.
    Lv M, Wang L.
    Exp Lung Res; 2015 Mar 21; 41(2):74-83. PubMed ID: 25514196
    [Abstract] [Full Text] [Related]

  • 10. 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 21; 11(4):2527-33. PubMed ID: 25434468
    [Abstract] [Full Text] [Related]

  • 11. Combined Analysis of ChIP Sequencing and Gene Expression Dataset in Breast Cancer.
    Liu P, Jiang W, Zhou S, Gao J, Zhang H.
    Pathol Oncol Res; 2017 Apr 21; 23(2):361-368. PubMed ID: 27654269
    [Abstract] [Full Text] [Related]

  • 12. Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis.
    Zhou T, Zhang Y, Wu P, Sun Q, Guo Y, Yang Y.
    Int J Rheum Dis; 2014 Jul 21; 17(6):671-8. PubMed ID: 24867262
    [Abstract] [Full Text] [Related]

  • 13. Screening candidate genes associated with bladder cancer using DNA microarray.
    Xu A, Wang C, Sun S.
    Mol Med Rep; 2014 Dec 21; 10(6):3087-91. PubMed ID: 25323786
    [Abstract] [Full Text] [Related]

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  • 15. Bioinformatics analysis of gene expression profile data to screen key genes involved in pulmonary sarcoidosis.
    Li H, Zhao X, Wang J, Zong M, Yang H.
    Gene; 2017 Jan 05; 596():98-104. PubMed ID: 27682024
    [Abstract] [Full Text] [Related]

  • 16. Protein-protein interaction network analysis of osteoarthritis-related differentially expressed genes.
    Zhu YC, Deng BY, Zhang LG, Xu P, Du XP, Zhang QG, Yang B.
    Genet Mol Res; 2014 Nov 11; 13(4):9343-51. PubMed ID: 25501146
    [Abstract] [Full Text] [Related]

  • 17. Gene expression of OCT4, SOX2, KLF4 and MYC (OSKM) induced pluripotent stem cells: identification for potential mechanisms.
    Cai Y, Dai X, Zhang Q, Dai Z.
    Diagn Pathol; 2015 Apr 24; 10():35. PubMed ID: 25907774
    [Abstract] [Full Text] [Related]

  • 18. Identification of differentially expressed genes associated with burn sepsis using microarray.
    Xu X, Shi Z, Hu J, Yuan B, Huang H, Fang H, Yin X, Nie N, Sheng X.
    Int J Mol Med; 2015 Dec 24; 36(6):1623-9. PubMed ID: 26498776
    [Abstract] [Full Text] [Related]

  • 19. Identification of candidate target genes of pituitary adenomas based on the DNA microarray.
    Zhou W, Ma CX, Xing YZ, Yan ZY.
    Mol Med Rep; 2016 Mar 24; 13(3):2182-6. PubMed ID: 26782791
    [Abstract] [Full Text] [Related]

  • 20. Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence.
    Yan H, Li Z, Shen Q, Wang Q, Tian J, Jiang Q, Gao L.
    Pathol Res Pract; 2017 Apr 24; 213(4):316-321. PubMed ID: 28238542
    [Abstract] [Full Text] [Related]

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