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Journal Abstract Search

194 related items for PubMed ID: 22595208

  • 21. Identification of regulatory modules in genome scale transcription regulatory networks.
    Song Q, Grene R, Heath LS, Li S.
    BMC Syst Biol; 2017 Dec 15; 11(1):140. PubMed ID: 29246163
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  • 22. Characterizing regulatory path motifs in integrated networks using perturbational data.
    Joshi A, Van Parys T, Van de Peer Y, Michoel T.
    Genome Biol; 2010 Dec 15; 11(3):R32. PubMed ID: 20230615
    [Abstract] [Full Text] [Related]

  • 23. An integrative method to decode regulatory logics in gene transcription.
    Yan B, Guan D, Wang C, Wang J, He B, Qin J, Boheler KR, Lu A, Zhang G, Zhu H.
    Nat Commun; 2017 Oct 19; 8(1):1044. PubMed ID: 29051499
    [Abstract] [Full Text] [Related]

  • 24. Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE).
    Paull EO, Carlin DE, Niepel M, Sorger PK, Haussler D, Stuart JM.
    Bioinformatics; 2013 Nov 01; 29(21):2757-64. PubMed ID: 23986566
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  • 25. Detailing regulatory networks through large scale data integration.
    Huttenhower C, Mutungu KT, Indik N, Yang W, Schroeder M, Forman JJ, Troyanskaya OG, Coller HA.
    Bioinformatics; 2009 Dec 15; 25(24):3267-74. PubMed ID: 19825796
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  • 26. Statistical identification of gene association by CID in application of constructing ER regulatory network.
    Liu LY, Chen CY, Chen MJ, Tsai MS, Lee CH, Phang TL, Chang LY, Kuo WH, Hwa HL, Lien HC, Jung SM, Lin YS, Chang KJ, Hsieh FJ.
    BMC Bioinformatics; 2009 Mar 17; 10():85. PubMed ID: 19292896
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  • 27. Network topology measures for identifying disease-gene association in breast cancer.
    Ramadan E, Alinsaif S, Hassan MR.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):274. PubMed ID: 27454166
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  • 28. Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.
    Xu T, Le TD, Liu L, Wang R, Sun B, Li J.
    PLoS One; 2016 Jul 25; 11(4):e0152792. PubMed ID: 27035433
    [Abstract] [Full Text] [Related]

  • 29. Integrated module and gene-specific regulatory inference implicates upstream signaling networks.
    Roy S, Lagree S, Hou Z, Thomson JA, Stewart R, Gasch AP.
    PLoS Comput Biol; 2013 Jul 25; 9(10):e1003252. PubMed ID: 24146602
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  • 30. Inferring transcription factor collaborations in gene regulatory networks.
    Awad S, Chen J.
    BMC Syst Biol; 2014 Jul 25; 8 Suppl 1(Suppl 1):S1. PubMed ID: 24565025
    [Abstract] [Full Text] [Related]

  • 31. Inferring transcriptional logic from multiple dynamic experiments.
    Minas G, Jenkins DJ, Rand DA, Finkenstädt B.
    Bioinformatics; 2017 Nov 01; 33(21):3437-3444. PubMed ID: 28666320
    [Abstract] [Full Text] [Related]

  • 32. Quantitative characterization of the transcriptional regulatory network in the yeast cell cycle.
    Chen HC, Lee HC, Lin TY, Li WH, Chen BS.
    Bioinformatics; 2004 Aug 12; 20(12):1914-27. PubMed ID: 15044243
    [Abstract] [Full Text] [Related]

  • 33. A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human.
    Liang C, Li Y, Luo J, Zhang Z.
    Bioinformatics; 2015 Jul 15; 31(14):2348-55. PubMed ID: 25788622
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  • 34. Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.
    Li W, Zhang S, Liu CC, Zhou XJ.
    Bioinformatics; 2012 Oct 01; 28(19):2458-66. PubMed ID: 22863767
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  • 35. Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data.
    Zhang Y, Xuan J, de los Reyes BG, Clarke R, Ressom HW.
    BMC Bioinformatics; 2008 Apr 21; 9():203. PubMed ID: 18426580
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  • 36. Xtalk: a path-based approach for identifying crosstalk between signaling pathways.
    Tegge AN, Sharp N, Murali TM.
    Bioinformatics; 2016 Jan 15; 32(2):242-51. PubMed ID: 26400040
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  • 37. Computer-assisted curation of a human regulatory core network from the biological literature.
    Thomas P, Durek P, Solt I, Klinger B, Witzel F, Schulthess P, Mayer Y, Tikk D, Blüthgen N, Leser U.
    Bioinformatics; 2015 Apr 15; 31(8):1258-66. PubMed ID: 25433699
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  • 38. SELANSI: a toolbox for simulation of stochastic gene regulatory networks.
    Pájaro M, Otero-Muras I, Vázquez C, Alonso AA.
    Bioinformatics; 2018 Mar 01; 34(5):893-895. PubMed ID: 29040384
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  • 39. Using graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer.
    Su N, Dai D, Deng C, Qian M, Deng M.
    IET Syst Biol; 2014 Jun 01; 8(3):87-95. PubMed ID: 25014375
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  • 40. Computer-assisted identification of cell cycle-related genes: new targets for E2F transcription factors.
    Kel AE, Kel-Margoulis OV, Farnham PJ, Bartley SM, Wingender E, Zhang MQ.
    J Mol Biol; 2001 May 25; 309(1):99-120. PubMed ID: 11491305
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