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RMA algorithm was applied for summarization, and the normalization was performed by the quantile method.
Raw intensity values were normalized by the quantile method implemented in the Bioconductor package limma (http://www.bioconductor.org).
Probe set intensity were calculated using the RMA algorithm and normalized by the quantile method [41], [42].
For the exon-wise analysis, the probe values from each channel were log2 transformed and normalized by the quantile method [55].
The Illumina array data were normalized by the quantile method, and then transformed log2 ratio values for a zero mean for expression values of each gene across all samples.
The data were normalized by the quantile method.
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Microarrays with acceptable density profiles (i.e. approximately Gaussian profiles symmetrically centered around a log2 signal intensity value between 9 and 11) were normalized using the quantile method implemented by the normalizeBetweenArrays function of the limma package [ 32].
Signal intensities among all microarray data were normalized according to the quantile method (Global normalization) by EXPANDER ver. 4.1 [67].
The signal intensities of the oligoarray data were normalized according to the quantile method (global normalization) by EXPANDER version 5.2 [ 56].
Consequently, this matrix was normalized with the quantile method.
When data are normalized with the quantile method [30], for example, which was used in this study and in [16] [18], the expression intensities of each probe are ranked and replaced by the average intensity of each quantile (each rank).
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