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Journal Abstract Search

177 related items for PubMed ID: 23913219

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

  • 2. 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]

  • 3. 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]

  • 4. Identification of miRNA-miRNA synergistic relationships in colorectal cancer.
    Zhao X, Song H, Zuo Z, Zhu Y, Dong X, Lu X.
    Int J Biol Macromol; 2013 Apr 23; 55():98-103. PubMed ID: 23246904
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Identification of microRNA regulatory modules in Arabidopsis via a probabilistic graphical model.
    Joung JG, Fei Z.
    Bioinformatics; 2009 Feb 01; 25(3):387-93. PubMed ID: 19056778
    [Abstract] [Full Text] [Related]

  • 7. Discovery of microRNAs and Transcription Factors Co-Regulatory Modules by Integrating Multiple Types of Genomic Data.
    Luo J, Xiang G, Pan C.
    IEEE Trans Nanobioscience; 2017 Jan 01; 16(1):51-59. PubMed ID: 28092569
    [Abstract] [Full Text] [Related]

  • 8. Discovering functional microRNA-mRNA regulatory modules in heterogeneous data.
    Liu B, Liu L, Tsykin A, Goodall GJ, Cairns MJ, Li J.
    Adv Exp Med Biol; 2013 Jan 01; 774():267-90. PubMed ID: 23377978
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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 Jan 01; 16(2):681-687. PubMed ID: 29993835
    [Abstract] [Full Text] [Related]

  • 11. Identification and analysis of the regulatory network of Myc and microRNAs from high-throughput experimental data.
    Xiong L, Jiang W, Zhou R, Mao C, Guo Z.
    Comput Biol Med; 2013 Sep 01; 43(9):1252-60. PubMed ID: 23930820
    [Abstract] [Full Text] [Related]

  • 12. 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 01; 11(8):2227-37. PubMed ID: 26052692
    [Abstract] [Full Text] [Related]

  • 13. Identifying cancer-related microRNAs based on gene expression data.
    Zhao XM, Liu KQ, Zhu G, He F, Duval B, Richer JM, Huang DS, Jiang CJ, Hao JK, Chen L.
    Bioinformatics; 2015 Apr 15; 31(8):1226-34. PubMed ID: 25505085
    [Abstract] [Full Text] [Related]

  • 14. Discovery of functional miRNA-mRNA regulatory modules with computational methods.
    Liu B, Li J, Tsykin A.
    J Biomed Inform; 2009 Aug 15; 42(4):685-91. PubMed ID: 19535005
    [Abstract] [Full Text] [Related]

  • 15. An integrated network of microRNA and gene expression in ovarian cancer.
    Quitadamo A, Tian L, Hall B, Shi X.
    BMC Bioinformatics; 2015 Aug 15; 16 Suppl 5(Suppl 5):S5. PubMed ID: 25860109
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. Participation of microRNAs in human interactome: extraction of microRNA-microRNA regulations.
    Sengupta D, Bandyopadhyay S.
    Mol Biosyst; 2011 Jun 15; 7(6):1966-73. PubMed ID: 21483898
    [Abstract] [Full Text] [Related]

  • 18. Discovery of microRNA-mRNA modules via population-based probabilistic learning.
    Joung JG, Hwang KB, Nam JW, Kim SJ, Zhang BT.
    Bioinformatics; 2007 May 01; 23(9):1141-7. PubMed ID: 17350973
    [Abstract] [Full Text] [Related]

  • 19. Prioritizing candidate disease miRNAs by integrating phenotype associations of multiple diseases with matched miRNA and mRNA expression profiles.
    Xu C, Ping Y, Li X, Zhao H, Wang L, Fan H, Xiao Y, Li X.
    Mol Biosyst; 2014 Nov 01; 10(11):2800-9. PubMed ID: 25099736
    [Abstract] [Full Text] [Related]

  • 20. Integration of MicroRNA, mRNA, and Protein Expression Data for the Identification of Cancer-Related MicroRNAs.
    Seo J, Jin D, Choi CH, Lee H.
    PLoS One; 2017 Nov 01; 12(1):e0168412. PubMed ID: 28056026
    [Abstract] [Full Text] [Related]

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