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The analogous microarray experiment yields thousands of Wilcoxon statistics, one for each gene on the array, and confronts the statistician with a difficult simultaneous inference situation.
Conducting a microarray experiment yields an enormous amount of raw data.
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Requiring a gene to show statistical differences in expression in all direct microarray experiments yields a high confidence set of true positives regulated downstream of dsx, but will likely generate false negatives.
The microarray experiments yielded a total of 579 differentially expressed transcripts.
Microarray experiments yield two kinds of outcomes: the signal intensities upon binding of complementary DNA and an unspecific fluorescence of the microarray surface or dye remnants.
Finally, the combination of disease causative genes from OMIM database, differentially expressed genes from the proteomics and microarray experiments yielded a total of 168 potentially SpA-active genes, which were used in a subsequent analysis.
For example, expression measurements for a typical microarray experiment of ~10,000 genes yield (10,000 × 9,999/2) ~50 million possible pair-wise correlations and (10,000 × 9,999 × 9,998/6) ~ 167 billion trios.
Genome-wide transcriptomic profiles of eight green fluorescent protein (GFP -marked cell populations with 2–3 replicates each were obtained, that in combination with a previous study of 11 microarray expression experiments yielded a transcriptomic expression atlas.
Additional microarray experiment using skin wounded ex vivo (n = 3) yielded similar results (p-value = 0.005) (Figure 5C).
One of the main objectives of our microarray experiment was to identify genes whose expression changed in association with changes in differential milk yield.
Brazma, A. et al. Minimum information about a microarray experiment (MIAME toward standards for microarray data.
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