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Journal Abstract Search

186 related items for PubMed ID: 16303796

  • 21. Transcriptional regulatory networks in Saccharomyces cerevisiae.
    Lee TI, Rinaldi NJ, Robert F, Odom DT, Bar-Joseph Z, Gerber GK, Hannett NM, Harbison CT, Thompson CM, Simon I, Zeitlinger J, Jennings EG, Murray HL, Gordon DB, Ren B, Wyrick JJ, Tagne JB, Volkert TL, Fraenkel E, Gifford DK, Young RA.
    Science; 2002 Oct 25; 298(5594):799-804. PubMed ID: 12399584
    [Abstract] [Full Text] [Related]

  • 22. Network constrained clustering for gene microarray data.
    Zhu D, Hero AO, Cheng H, Khanna R, Swaroop A.
    Bioinformatics; 2005 Nov 01; 21(21):4014-20. PubMed ID: 16141248
    [Abstract] [Full Text] [Related]

  • 23. Minreg: inferring an active regulator set.
    Pe'er D, Regev A, Tanay A.
    Bioinformatics; 2002 Nov 01; 18 Suppl 1():S258-67. PubMed ID: 12169555
    [Abstract] [Full Text] [Related]

  • 24. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.
    Wang XD, Qi YX, Jiang ZL.
    IET Syst Biol; 2011 Mar 01; 5(2):95-102. PubMed ID: 21405197
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  • 25. Detecting differential gene expression with a semiparametric hierarchical mixture method.
    Newton MA, Noueiry A, Sarkar D, Ahlquist P.
    Biostatistics; 2004 Apr 01; 5(2):155-76. PubMed ID: 15054023
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  • 26. Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae.
    Vu TT, Vohradsky J.
    Nucleic Acids Res; 2007 Apr 01; 35(1):279-87. PubMed ID: 17170011
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  • 27. Meta-analysis based on control of false discovery rate: combining yeast ChIP-chip datasets.
    Pyne S, Futcher B, Skiena S.
    Bioinformatics; 2006 Oct 15; 22(20):2516-22. PubMed ID: 16908499
    [Abstract] [Full Text] [Related]

  • 28. Inferring transcriptional regulatory networks from high-throughput data.
    Wang RS, Wang Y, Zhang XS, Chen L.
    Bioinformatics; 2007 Nov 15; 23(22):3056-64. PubMed ID: 17890736
    [Abstract] [Full Text] [Related]

  • 29. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.
    Segal E, Shapira M, Regev A, Pe'er D, Botstein D, Koller D, Friedman N.
    Nat Genet; 2003 Jun 15; 34(2):166-76. PubMed ID: 12740579
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  • 30. Identification of metabolic units induced by environmental signals.
    Nacher JC, Schwartz JM, Kanehisa M, Akutsu T.
    Bioinformatics; 2006 Jul 15; 22(14):e375-83. PubMed ID: 16873496
    [Abstract] [Full Text] [Related]

  • 31. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J, Yuan B.
    Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529
    [Abstract] [Full Text] [Related]

  • 32. Exploring the functional landscape of gene expression: directed search of large microarray compendia.
    Hibbs MA, Hess DC, Myers CL, Huttenhower C, Li K, Troyanskaya OG.
    Bioinformatics; 2007 Oct 15; 23(20):2692-9. PubMed ID: 17724061
    [Abstract] [Full Text] [Related]

  • 33. Identification of DNA regulatory motifs using Bayesian variable selection.
    Tadesse MG, Vannucci M, Liò P.
    Bioinformatics; 2004 Nov 01; 20(16):2553-61. PubMed ID: 15117754
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  • 34. MARD: a new method to detect differential gene expression in treatment-control time courses.
    Cheng C, Ma X, Yan X, Sun F, Li LM.
    Bioinformatics; 2006 Nov 01; 22(21):2650-7. PubMed ID: 16928738
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  • 35. Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models.
    Hirose O, Yoshida R, Imoto S, Yamaguchi R, Higuchi T, Charnock-Jones DS, Print C, Miyano S.
    Bioinformatics; 2008 Apr 01; 24(7):932-42. PubMed ID: 18292116
    [Abstract] [Full Text] [Related]

  • 36. Analysis of a Gibbs sampler method for model-based clustering of gene expression data.
    Joshi A, Van de Peer Y, Michoel T.
    Bioinformatics; 2008 Jan 15; 24(2):176-83. PubMed ID: 18033794
    [Abstract] [Full Text] [Related]

  • 37. 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
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  • 38. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network.
    Imoto S, Kim S, Goto T, Miyano S, Aburatani S, Tashiro K, Kuhara S.
    J Bioinform Comput Biol; 2003 Jul 12; 1(2):231-52. PubMed ID: 15290771
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  • 39. DNA microarray analysis suggests that zinc pyrithione causes iron starvation to the yeast Saccharomyces cerevisiae.
    Yasokawa D, Murata S, Iwahashi Y, Kitagawa E, Kishi K, Okumura Y, Iwahashi H.
    J Biosci Bioeng; 2010 May 12; 109(5):479-86. PubMed ID: 20347771
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  • 40. Inferring gene regulatory relationships by combining target-target pattern recognition and regulator-specific motif examination.
    Wei H, Kaznessis Y.
    Biotechnol Bioeng; 2005 Jan 05; 89(1):53-77. PubMed ID: 15540196
    [Abstract] [Full Text] [Related]

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