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Journal Abstract Search

359 related items for PubMed ID: 28155675

  • 1. Gene-microRNA network module analysis for ovarian cancer.
    Zhang S, Ng MK.
    BMC Syst Biol; 2016 Dec 23; 10(Suppl 4):117. PubMed ID: 28155675
    [Abstract] [Full Text] [Related]

  • 2. Integrating multiple types of data to identify microRNA-gene co-modules.
    Zhang S.
    Methods Mol Biol; 2013 Dec 23; 1049():215-29. PubMed ID: 23913219
    [Abstract] [Full Text] [Related]

  • 3. MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice.
    Nogales-Cadenas R, Cai Y, Lin JR, Zhang Q, Zhang W, Montagna C, Zhang ZD.
    Breast Cancer Res; 2016 Jul 22; 18(1):75. PubMed ID: 27449149
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  • 4. Co-Expression Network Analysis Identifies miRNA⁻mRNA Networks Potentially Regulating Milk Traits and Blood Metabolites.
    Ammah AA, Do DN, Bissonnette N, Gévry N, Ibeagha-Awemu EM.
    Int J Mol Sci; 2018 Aug 24; 19(9):. PubMed ID: 30149509
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  • 5. An integrated network of microRNA and gene expression in ovarian cancer.
    Quitadamo A, Tian L, Hall B, Shi X.
    BMC Bioinformatics; 2015 Aug 24; 16 Suppl 5(Suppl 5):S5. PubMed ID: 25860109
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  • 6. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
    Chen W, Zhao W, Yang A, Xu A, Wang H, Cong M, Liu T, Wang P, You H.
    Gene; 2017 Dec 15; 636():87-95. PubMed ID: 28919164
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  • 7. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
    Hsu SD, Huang HY, Chou CH, Sun YM, Hsu MT, Tsou AP.
    BMC Genomics; 2015 Dec 15; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
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  • 8. Detecting pan-cancer conserved microRNA modules from microRNA expression profiles across multiple cancers.
    Liu Z, Zhang J, Yuan X, Liu B, Liu Y, Li A, Zhang Y, Sun X, Tuo S.
    Mol Biosyst; 2015 Aug 15; 11(8):2227-37. PubMed ID: 26052692
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  • 9. A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging.
    Liang C, Li Y, Luo J.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Aug 15; 13(3):549-56. PubMed ID: 27295638
    [Abstract] [Full Text] [Related]

  • 10. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
    Zhang S, Li Q, Liu J, Zhou XJ.
    Bioinformatics; 2011 Jul 01; 27(13):i401-9. PubMed ID: 21685098
    [Abstract] [Full Text] [Related]

  • 11. Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancers.
    Chiu YC, Hsiao TH, Chen Y, Chuang EY.
    BMC Genomics; 2015 Jul 01; 16 Suppl 4(Suppl 4):S1. PubMed ID: 25917195
    [Abstract] [Full Text] [Related]

  • 12. A computational approach to identifying gene-microRNA modules in cancer.
    Jin D, Lee H.
    PLoS Comput Biol; 2015 Jan 01; 11(1):e1004042. PubMed ID: 25611546
    [Abstract] [Full Text] [Related]

  • 13. Comparisons of gene coexpression network modules in breast cancer and ovarian cancer.
    Zhang S.
    BMC Syst Biol; 2018 Apr 11; 12(Suppl 1):8. PubMed ID: 29671401
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  • 14. A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions.
    Zhang J, Le TD, Liu L, He J, Li J.
    Gene; 2016 Feb 10; 577(1):55-64. PubMed ID: 26611531
    [Abstract] [Full Text] [Related]

  • 15. A Novel Cluster-Based Computational Method to Identify miRNA Regulatory Modules.
    Luo J, Pan C, Xiang G, Yin Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Feb 10; 16(2):681-687. PubMed ID: 29993835
    [Abstract] [Full Text] [Related]

  • 16. RFCM3: Computational Method for Identification of miRNA-mRNA Regulatory Modules in Cervical Cancer.
    Paul S, Madhumita.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Feb 10; 17(5):1729-1740. PubMed ID: 30990434
    [Abstract] [Full Text] [Related]

  • 17. Computational identification of hepatitis C virus associated microRNA-mRNA regulatory modules in human livers.
    Peng X, Li Y, Walters KA, Rosenzweig ER, Lederer SL, Aicher LD, Proll S, Katze MG.
    BMC Genomics; 2009 Aug 11; 10():373. PubMed ID: 19671175
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  • 18. Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach.
    Song R, Catchpoole DR, Kennedy PJ, Li J.
    J Theor Biol; 2015 Sep 07; 380():271-9. PubMed ID: 26026830
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  • 19. The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication.
    Zhang W, Edwards A, Fan W, Flemington EK, Zhang K.
    Comput Biol Chem; 2016 Aug 07; 63():3-14. PubMed ID: 26949157
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  • 20. Integrative analysis of transcriptome and miRNome unveils the key regulatory connections involved in different stages of hepatocellular carcinoma.
    Ramesh V, Ganesan K.
    Genes Cells; 2016 Sep 07; 21(9):949-65. PubMed ID: 27465470
    [Abstract] [Full Text] [Related]

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