Data from: The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster

Wei Jin, Rebecca M. Riley, Russell D. Wolfinger, Kevin P. White, Gisele Passador-Gurgel & Greg Gibson
Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in...
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