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Statistics for Comparison of Two Independent cDNA Filter Microarrays

In: Statistical Modeling and Analysis for Complex Data Problems

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  • André Dabrowski

Abstract

The great interest in gene expression in microbiology has led to the development of the cDNA array experiment. A very large number of genes can be tested simultaneously for their level of expression through these arrays. This gives rise to data where there are but a few observations for any one gene upon which to base a test of significance, and a very large number of these tests to carry out. Here we consider experiments with two filter microarrays; one from a control and one from a treated preparation. The question of interest is whether or not the k largest observed gene-wise differences are indicative of true differences, or whether the results can be due to background variation. We develop a parametric approach distinct fromn those based on resampling methods, and obtain an hypothesis test applicable to this experiment that can be easily implemented in standard statistical software. We illustrate the approach on data on herpes-infected cells.

Suggested Citation

  • André Dabrowski, 2005. "Statistics for Comparison of Two Independent cDNA Filter Microarrays," Springer Books, in: Pierre Duchesne & Bruno RÉMillard (ed.), Statistical Modeling and Analysis for Complex Data Problems, chapter 0, pages 161-178, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-24555-3_9
    DOI: 10.1007/0-387-24555-3_9
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