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Detailed procedures of data normalization and combination are reported in Additional file 1, Text S1.
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(A ) Workflow of data normalization.
Procedures for data normalization and assessment of statistically and biologically significant genes were performed as described previously [ 22].
Procedures for data normalization and assessment of statistically and biologically significant genes were performed as described by Benedito et al. [2008][ 52].
The experiment procedures and data normalization were performed using the methods described previously [ 50].
This time, 3 of 4 procedures used for data normalization and probe set sorting allowed identifying 11 consensus signaling pathways consistent with those selected in our studies (Table 4), although none common signaling pathways were found when the GSE8671 data set was normalized with the GCRMA+LVS algorithm and probe sets were sorted by the statistic of pair-wise comparison.
See Additional file 1 for a description of the data normalization procedures and statistical analyses used to generate gene sets and/or ranked gene lists for each of the previously published gene-expression datasets.
A detailed description of the data normalization procedure has been published previously (Rajapakse et al. 2004).
One crucial point in this study was the choice of the data normalization procedure.
The complete procedure of data stratification and popLowess normalization is shown in figure 5, steps 1 8.
The procedure for array scanning, calculation of fluorescence intensities, data normalization, and statistical analysis were performed as described previously (Chevillard et al. 2004) with modifications (Bastide et al. 2009, Daino et al. 2009).
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