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Journal Abstract Search

103 related items for PubMed ID: 30539840

  • 1. Identification of significant ego networks and pathways in rheumatoid arthritis.
    Zhou WZ, Miao LG, Yuan H.
    J Cancer Res Ther; 2018 Dec; 14(Supplement):S1024-S1028. PubMed ID: 30539840
    [Abstract] [Full Text] [Related]

  • 2. Investigating ego modules and pathways in osteosarcoma by integrating the EgoNet algorithm and pathway analysis.
    Chen XY, Chen YH, Zhang LJ, Wang Y, Tong ZC.
    Braz J Med Biol Res; 2017 Feb 16; 50(2):e5793. PubMed ID: 28225867
    [Abstract] [Full Text] [Related]

  • 3. Characterization of biomarkers in stroke based on ego-networks and pathways.
    Li H, Guo Q.
    Biotechnol Lett; 2017 Dec 16; 39(12):1835-1842. PubMed ID: 28875412
    [Abstract] [Full Text] [Related]

  • 4. A network pharmacology approach to explore the potential targets underlying the effect of sinomenine on rheumatoid arthritis.
    Guo X, Ji J, Feng Z, Hou X, Luo Y, Mei Z.
    Int Immunopharmacol; 2020 Mar 16; 80():106201. PubMed ID: 31972421
    [Abstract] [Full Text] [Related]

  • 5. Identification of differentially expressed and methylated genes associated with rheumatoid arthritis based on network.
    Zhang D, Li Z, Zhang R, Yang X, Zhang D, Li Q, Wang C, Yang X, Xiong Y.
    Autoimmunity; 2020 Sep 16; 53(6):303-313. PubMed ID: 32650679
    [Abstract] [Full Text] [Related]

  • 6. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
    Cheng Q, Chen X, Wu H, Du Y.
    J Transl Med; 2021 Jan 06; 19(1):18. PubMed ID: 33407587
    [Abstract] [Full Text] [Related]

  • 7. Detection of Significant Pneumococcal Meningitis Biomarkers by Ego Network.
    Wang Q, Lou Z, Zhai L, Zhao H.
    Indian J Pediatr; 2017 Jun 06; 84(6):430-436. PubMed ID: 28247176
    [Abstract] [Full Text] [Related]

  • 8. Identification of pivotal genes and pathways in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis through integrated bioinformatic analysis.
    Aihaiti Y, Tuerhong X, Ye JT, Ren XY, Xu P.
    Mol Med Rep; 2020 Oct 06; 22(4):3513-3524. PubMed ID: 32945465
    [Abstract] [Full Text] [Related]

  • 9. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome‑wide gene expression profiling analysis.
    Zhang R, Yang X, Wang J, Han L, Yang A, Zhang J, Zhang D, Li B, Li Z, Xiong Y.
    Mol Med Rep; 2019 Jan 06; 19(1):30-40. PubMed ID: 30483789
    [Abstract] [Full Text] [Related]

  • 10. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
    Xiong Y, Mi BB, Liu MF, Xue H, Wu QP, Liu GH.
    Med Sci Monit; 2019 Mar 27; 25():2246-2256. PubMed ID: 30916045
    [Abstract] [Full Text] [Related]

  • 11. A novel method to identify hub pathways of rheumatoid arthritis based on differential pathway networks.
    Wei ST, Sun YH, Zong SH.
    Mol Med Rep; 2017 Sep 27; 16(3):3187-3193. PubMed ID: 28713940
    [Abstract] [Full Text] [Related]

  • 12. A network-based analysis of traditional Chinese medicine cold and hot patterns in rheumatoid arthritis.
    Chen G, Lu C, Zha Q, Xiao C, Xu S, Ju D, Zhou Y, Jia W, Lu A.
    Complement Ther Med; 2012 Sep 27; 20(1-2):23-30. PubMed ID: 22305245
    [Abstract] [Full Text] [Related]

  • 13. Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis.
    Ma C, Lv Q, Teng S, Yu Y, Niu K, Yi C.
    Int J Rheum Dis; 2017 Aug 27; 20(8):971-979. PubMed ID: 28440025
    [Abstract] [Full Text] [Related]

  • 14. 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; 16(1):458. PubMed ID: 34271942
    [Abstract] [Full Text] [Related]

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  • 19. Identification of differentially expressed genes, signaling pathways and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis.
    Ge Y, Zhou L, Chen Z, Mao Y, Li T, Tong P, Shan L.
    Hereditas; 2021 Jan 04; 158(1):5. PubMed ID: 33397492
    [Abstract] [Full Text] [Related]

  • 20. Microarray and network-based identification of functional modules and pathways of active tuberculosis.
    Bian ZR, Yin J, Sun W, Lin DJ.
    Microb Pathog; 2017 Apr 04; 105():68-73. PubMed ID: 28189733
    [Abstract] [Full Text] [Related]

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