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These patterns were not explained by genetic, age or microarray effects, and appeared driven by correlation within subjects, as scrambling the data across subjects abolished them (Figure 1E F, Figure 2).
In a subsequent normalization step, the log2 normalized ratio of mammary versus reference (i.e., RNA mixture of different tissues including mammary) signal intensities were adjusted for global dye and microarray effects and normalized by Lowess.
In the first stage, gene expression values were adjusted for global dye and microarray effects and in the second stage, the expression of each microarray element was described with a model including the effects of dye-, samicroarrayoanday- and experimental-specific factors.
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5 Data from the microarray analysis were normalized for dye and microarray effects (ie, Lowess normalization and array centering) and used for statistical analysis.
The detailed information for qPCR efficiency and% relative RNA abundance of the measured genes is provided in Suppl 1. Table 4. Data from a total of 12 microarrays were normalized for dye and microarray effects (ie, Lowess normalization and microarray centering) and used for statistical analysis.
The log2 intensity values were normalized using a loess transformation, and global dye and microarray effects were removed using the approach implemented Beehive.
Data from duplicated spots were averaged and adjusted for global dye and microarray effects [45], [46].
In the first stage, global dye and microarray effects were removed across all microarray elements or cDNAs transcripts, and in the second-stage individual-study or meta-analyses were implemented.
A microarray effect was not included in the model due to the design of Group 2 studies that included two honey bee samples not present on multiple microarrays.
Our approach to probe intensity calculations takes into account many of the "problems" inherent to microarrays such as batch effects and probe synthesis failure.
10.7554/eLife.05005.012 Figure 3. Pre-processing the microarray datasets to minimize nonspecific effects and technical biases.
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