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Journal Abstract Search

488 related items for PubMed ID: 16465162

  • 1. Statistical practice in high-throughput screening data analysis.
    Malo N, Hanley JA, Cerquozzi S, Pelletier J, Nadon R.
    Nat Biotechnol; 2006 Feb; 24(2):167-75. PubMed ID: 16465162
    [Abstract] [Full Text] [Related]

  • 2. Quantitative assessment of hit detection and confirmation in single and duplicate high-throughput screenings.
    Wu Z, Liu D, Sui Y.
    J Biomol Screen; 2008 Feb; 13(2):159-67. PubMed ID: 18216390
    [Abstract] [Full Text] [Related]

  • 3. An efficient method for the detection and elimination of systematic error in high-throughput screening.
    Makarenkov V, Zentilli P, Kevorkov D, Gagarin A, Malo N, Nadon R.
    Bioinformatics; 2007 Jul 01; 23(13):1648-57. PubMed ID: 17463024
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  • 4. Integrated expressional analysis: application to the drug discovery process.
    Ilyin SE, Horowitz D, Belkowski SM, Xin H, Eckardt AJ, Darrow AL, Chen C, Maley D, D'Andrea M, Plata-Salamán CR, Derian CK.
    Methods; 2005 Nov 01; 37(3):280-8. PubMed ID: 16308157
    [Abstract] [Full Text] [Related]

  • 5. Novel statistical approach for primary high-throughput screening hit selection.
    Yan SF, Asatryan H, Li J, Zhou Y.
    J Chem Inf Model; 2005 Nov 01; 45(6):1784-90. PubMed ID: 16309285
    [Abstract] [Full Text] [Related]

  • 6. Identifying actives from HTS data sets: practical approaches for the selection of an appropriate HTS data-processing method and quality control review.
    Shun TY, Lazo JS, Sharlow ER, Johnston PA.
    J Biomol Screen; 2011 Jan 01; 16(1):1-14. PubMed ID: 21160066
    [Abstract] [Full Text] [Related]

  • 7. Integration of statistical inference methods and a novel control measure to improve sensitivity and specificity of data analysis in expression profiling studies.
    Zang S, Guo R, Zhang L, Lu Y.
    J Biomed Inform; 2007 Oct 01; 40(5):552-60. PubMed ID: 17317331
    [Abstract] [Full Text] [Related]

  • 8. Designing screens: how to make your hits a hit.
    Walters WP, Namchuk M.
    Nat Rev Drug Discov; 2003 Apr 01; 2(4):259-66. PubMed ID: 12669025
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  • 11. Some statistical issues in microarray gene expression data.
    Mayo MS, Gajewski BJ, Morris JS.
    Radiat Res; 2006 Jun 01; 165(6):745-8. PubMed ID: 16802876
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  • 12. Interpretation of uniform-well readouts.
    Josiah S.
    Methods Mol Biol; 2009 Jun 01; 486():177-92. PubMed ID: 19347624
    [Abstract] [Full Text] [Related]

  • 13. Alternative statistical parameter for high-throughput screening assay quality assessment.
    Sui Y, Wu Z.
    J Biomol Screen; 2007 Mar 01; 12(2):229-34. PubMed ID: 17218666
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  • 14. Improving the design and analysis of high-throughput screening technology comparison experiments using statistical modeling.
    Woodward PW, Williams C, Sewing A, Benson N.
    J Biomol Screen; 2006 Feb 01; 11(1):5-12. PubMed ID: 16234338
    [Abstract] [Full Text] [Related]

  • 15. Streamlining lead discovery by aligning in silico and high-throughput screening.
    Davies JW, Glick M, Jenkins JL.
    Curr Opin Chem Biol; 2006 Aug 01; 10(4):343-51. PubMed ID: 16822701
    [Abstract] [Full Text] [Related]

  • 16. Median absolute deviation to improve hit selection for genome-scale RNAi screens.
    Chung N, Zhang XD, Kreamer A, Locco L, Kuan PF, Bartz S, Linsley PS, Ferrer M, Strulovici B.
    J Biomol Screen; 2008 Feb 01; 13(2):149-58. PubMed ID: 18216396
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  • 19. Using clustering techniques to improve hit selection in high-throughput screening.
    Gagarin A, Makarenkov V, Zentilli P.
    J Biomol Screen; 2006 Dec 01; 11(8):903-14. PubMed ID: 17092911
    [Abstract] [Full Text] [Related]

  • 20. Activity-based high-throughput profiling of metalloprotease inhibitors using small molecule microarrays.
    Wang J, Uttamchandani M, Sun LP, Yao SQ.
    Chem Commun (Camb); 2006 Feb 21; (7):717-9. PubMed ID: 16465317
    [Abstract] [Full Text] [Related]

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