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Differentially expressed genes were identified using the Illumina custom error model.
The statistical algorithm used in GenomeStudio gene expression analysis is the Illumina Custom error model.
For more detail on Illumina's custom error model, see GenomeStudio Gene Expression Module v1.0 User Guide (pages 103 and 104).
Expression changes in transgenics were measured relative to XX controls, and the significance determined using the Illumina custom error model with Benjamini/Hochberg false discovery rate correction.
The differential gene expression analysis was performed using Illumina custom error model with false discovery rate correction implemented in GenomeStudio [ 80].
We identified genes differentially expressed in AAA [see additional file 1: Table I] using the Illumina custom error model implemented in BeadStudio.
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Differential expression analysis was performed using Illumina's custom differential expression error model, which assumes a normal distribution of the target signal intensity and takes into account biological variation, non-specific biological variation, and technical error.
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