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Journal Abstract Search

281 related items for PubMed ID: 16249259

  • 1. Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium.
    Tan Y, Shi L, Hussain SM, Xu J, Tong W, Frazier JM, Wang C.
    Bioinformatics; 2006 Jan 01; 22(1):77-87. PubMed ID: 16249259
    [Abstract] [Full Text] [Related]

  • 2. Cytotoxicity and stress gene microarray analysis in cadmium-exposed CRL-1439 normal rat liver cells.
    Badisa VL, Latinwo LM, Odewumi CO, Ikediobi CO, Badisa RB, Brooks-Walter A, Lambert AT, Nwoga J.
    Int J Mol Med; 2008 Aug 01; 22(2):213-9. PubMed ID: 18636176
    [Abstract] [Full Text] [Related]

  • 3. D-Serine exposure resulted in gene expression changes indicative of activation of fibrogenic pathways and down-regulation of energy metabolism and oxidative stress response.
    Soto A, DelRaso NJ, Schlager JJ, Chan VT.
    Toxicology; 2008 Jan 14; 243(1-2):177-92. PubMed ID: 18061331
    [Abstract] [Full Text] [Related]

  • 4. Inferring gene regulatory networks from multiple microarray datasets.
    Wang Y, Joshi T, Zhang XS, Xu D, Chen L.
    Bioinformatics; 2006 Oct 01; 22(19):2413-20. PubMed ID: 16864593
    [Abstract] [Full Text] [Related]

  • 5. Clustering short time series gene expression data.
    Ernst J, Nau GJ, Bar-Joseph Z.
    Bioinformatics; 2005 Jun 01; 21 Suppl 1():i159-68. PubMed ID: 15961453
    [Abstract] [Full Text] [Related]

  • 6. Pathway analysis using random forests classification and regression.
    Pang H, Lin A, Holford M, Enerson BE, Lu B, Lawton MP, Floyd E, Zhao H.
    Bioinformatics; 2006 Aug 15; 22(16):2028-36. PubMed ID: 16809386
    [Abstract] [Full Text] [Related]

  • 7. In vitro gene expression analysis of hepatotoxic drugs in rat primary hepatocytes.
    Suzuki H, Inoue T, Matsushita T, Kobayashi K, Horii I, Hirabayashi Y, Inoue T.
    J Appl Toxicol; 2008 Mar 15; 28(2):227-36. PubMed ID: 18246545
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
    Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE.
    Bioinformatics; 2007 Jul 01; 23(13):1623-30. PubMed ID: 17463021
    [Abstract] [Full Text] [Related]

  • 10. Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.
    Missal K, Cross MA, Drasdo D.
    Bioinformatics; 2006 Mar 15; 22(6):731-8. PubMed ID: 16332705
    [Abstract] [Full Text] [Related]

  • 11. Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.
    Wang Y, Barbacioru C, Hyland F, Xiao W, Hunkapiller KL, Blake J, Chan F, Gonzalez C, Zhang L, Samaha RR.
    BMC Genomics; 2006 Mar 21; 7():59. PubMed ID: 16551369
    [Abstract] [Full Text] [Related]

  • 12. In vitro gene expression analysis of nephrotoxic drugs in rat primary renal cortical tubular cells.
    Suzuki H, Inoue T, Matsushita T, Kobayashi K, Horii I, Hirabayashi Y, Inoue T.
    J Appl Toxicol; 2008 Mar 21; 28(2):237-48. PubMed ID: 18172885
    [Abstract] [Full Text] [Related]

  • 13. Calculation of reliable transcript levels of annotated genes on the basis of multiple probe-sets in Affymetrix microarrays.
    Jaksik R, Polańska J, Herok R, Rzeszowska-Wolny J.
    Acta Biochim Pol; 2009 Mar 21; 56(2):271-7. PubMed ID: 19436837
    [Abstract] [Full Text] [Related]

  • 14. Targeted salmon gene array (SalArray): a toxicogenomic tool for gene expression profiling of interactions between estrogen and aryl hydrocarbon receptor signalling pathways.
    Mortensen AS, Arukwe A.
    Chem Res Toxicol; 2007 Mar 21; 20(3):474-88. PubMed ID: 17291011
    [Abstract] [Full Text] [Related]

  • 15. Pathway recognition and augmentation by computational analysis of microarray expression data.
    Novak BA, Jain AN.
    Bioinformatics; 2006 Jan 15; 22(2):233-41. PubMed ID: 16278238
    [Abstract] [Full Text] [Related]

  • 16. Large scale data mining approach for gene-specific standardization of microarray gene expression data.
    Yoon S, Yang Y, Choi J, Seong J.
    Bioinformatics; 2006 Dec 01; 22(23):2898-904. PubMed ID: 17032674
    [Abstract] [Full Text] [Related]

  • 17. Gene expression profiling of copper-induced responses in the intertidal copepod Tigriopus japonicus using a 6K oligochip microarray.
    Ki JS, Raisuddin S, Lee KW, Hwang DS, Han J, Rhee JS, Kim IC, Park HG, Ryu JC, Lee JS.
    Aquat Toxicol; 2009 Jul 26; 93(4):177-87. PubMed ID: 19515434
    [Abstract] [Full Text] [Related]

  • 18. Early sensing and gene expression profiling under a low dose of cadmium exposure.
    Hsiao CJ, Stapleton SR.
    Biochimie; 2009 Mar 26; 91(3):329-43. PubMed ID: 19010381
    [Abstract] [Full Text] [Related]

  • 19. A Gibbs sampler for the identification of gene expression and network connectivity consistency.
    Brynildsen MP, Tran LM, Liao JC.
    Bioinformatics; 2006 Dec 15; 22(24):3040-6. PubMed ID: 17060361
    [Abstract] [Full Text] [Related]

  • 20. Microarray data analysis: from disarray to consolidation and consensus.
    Allison DB, Cui X, Page GP, Sabripour M.
    Nat Rev Genet; 2006 Jan 15; 7(1):55-65. PubMed ID: 16369572
    [Abstract] [Full Text] [Related]

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