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PUBMED FOR HANDHELDS

Journal Abstract Search


350 related items for PubMed ID: 17237040

  • 1. Modeling nonlinearity in dilution design microarray data.
    Zheng X, Huang HC, Li W, Liu P, Li QZ, Liu Y.
    Bioinformatics; 2007 Jun 01; 23(11):1339-47. PubMed ID: 17237040
    [Abstract] [Full Text] [Related]

  • 2. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
    Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S.
    BMC Bioinformatics; 2005 Feb 10; 6():26. PubMed ID: 15705192
    [Abstract] [Full Text] [Related]

  • 3. Cross platform microarray analysis for robust identification of differentially expressed genes.
    Bosotti R, Locatelli G, Healy S, Scacheri E, Sartori L, Mercurio C, Calogero R, Isacchi A.
    BMC Bioinformatics; 2007 Mar 08; 8 Suppl 1(Suppl 1):S5. PubMed ID: 17430572
    [Abstract] [Full Text] [Related]

  • 4. Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis.
    Holloway AJ, Oshlack A, Diyagama DS, Bowtell DD, Smyth GK.
    BMC Bioinformatics; 2006 Nov 22; 7():511. PubMed ID: 17118209
    [Abstract] [Full Text] [Related]

  • 5. A new summarization method for Affymetrix probe level data.
    Hochreiter S, Clevert DA, Obermayer K.
    Bioinformatics; 2006 Apr 15; 22(8):943-9. PubMed ID: 16473874
    [Abstract] [Full Text] [Related]

  • 6. Interpretation of ANOVA models for microarray data using PCA.
    de Haan JR, Wehrens R, Bauerschmidt S, Piek E, van Schaik RC, Buydens LM.
    Bioinformatics; 2007 Jan 15; 23(2):184-90. PubMed ID: 17105717
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.
    Nueda MJ, Conesa A, Westerhuis JA, Hoefsloot HC, Smilde AK, Talón M, Ferrer A.
    Bioinformatics; 2007 Jul 15; 23(14):1792-800. PubMed ID: 17519250
    [Abstract] [Full Text] [Related]

  • 9. Flexible empirical Bayes models for differential gene expression.
    Lo K, Gottardo R.
    Bioinformatics; 2007 Feb 01; 23(3):328-35. PubMed ID: 17138586
    [Abstract] [Full Text] [Related]

  • 10. Genetic test bed for feature selection.
    Choudhary A, Brun M, Hua J, Lowey J, Suh E, Dougherty ER.
    Bioinformatics; 2006 Apr 01; 22(7):837-42. PubMed ID: 16428263
    [Abstract] [Full Text] [Related]

  • 11. A simple and robust algorithm for microarray data clustering based on gene population-variance ratio metric.
    Chatterjee S, Bhattacharjee K, Konar A.
    Biotechnol J; 2009 Sep 01; 4(9):1357-61. PubMed ID: 19579218
    [Abstract] [Full Text] [Related]

  • 12. Bayesian variable selection for the analysis of microarray data with censored outcomes.
    Sha N, Tadesse MG, Vannucci M.
    Bioinformatics; 2006 Sep 15; 22(18):2262-8. PubMed ID: 16845144
    [Abstract] [Full Text] [Related]

  • 13. Exploiting sample variability to enhance multivariate analysis of microarray data.
    Möller-Levet CS, West CM, Miller CJ.
    Bioinformatics; 2007 Oct 15; 23(20):2733-40. PubMed ID: 17827205
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. Use of within-array replicate spots for assessing differential expression in microarray experiments.
    Smyth GK, Michaud J, Scott HS.
    Bioinformatics; 2005 May 01; 21(9):2067-75. PubMed ID: 15657102
    [Abstract] [Full Text] [Related]

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  • 17. Inferring global levels of alternative splicing isoforms using a generative model of microarray data.
    Shai O, Morris QD, Blencowe BJ, Frey BJ.
    Bioinformatics; 2006 Mar 01; 22(5):606-13. PubMed ID: 16403798
    [Abstract] [Full Text] [Related]

  • 18.
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  • 19. The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.
    Zhou X, Mao KZ.
    Bioinformatics; 2006 Oct 15; 22(20):2507-15. PubMed ID: 16908500
    [Abstract] [Full Text] [Related]

  • 20. Hotelling's T2 multivariate profiling for detecting differential expression in microarrays.
    Lu Y, Liu PY, Xiao P, Deng HW.
    Bioinformatics; 2005 Jul 15; 21(14):3105-13. PubMed ID: 15905280
    [Abstract] [Full Text] [Related]


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