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The workflow of the meta-analysis of multiple microarray data sets is shown in Supplementary Figure.
This analysis demonstrates that genes that are consistently light-inducible are more likely to be meaningful and emphasizes the power of integrating multiple microarray data sets for functional genomics analysis, whenever possible.
The expected expression levels were based on multiple microarray data from RKO cell line.
Thirty genes were selected based on multiple microarray data from RKO colon cancer cell line.
Taken together, the poe transformation outperforms the linear rescaling method in combining multiple microarray data sets.
Thus, multiple microarray data sets were employed here for error deduction.
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In this study multiple microarray source data were employed for analysis.
This high-throughput detection of transcript quantity facilitates the comparative expression analysis by combining multiple microarray expression data among different samples and even different species [ 12].
We hypothesized that computational analysis of multiple PD microarray data can be used to identify certain sets of PD-associated marker genes based on gene expression patterns.
In brief, our protocol performs a MCA on a vectorial representation of multiple 'barcoded' microarray data in a high dimensional space.
Rhodes et al. [ 6] developed a statistical approach to compare multiple independent microarray data sets and applied it to identify sets of consistently differentially expressed genes across four independent prostate cancer gene data sets.
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