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The generation of the microarray dataset has been previously described.
The microarray dataset has been loaded in ArrayExpress.
The Microarray dataset has been deposited at array express (http://www.ebi.ac.uk/arrayexpress/ E-MEXP-2915 E-MEXP-2915 E-MEXP-2915
The microarray dataset has been deposited at the Gene Expression Omnibus under accession number GSE60502.
The microarray dataset has been deposited in NCBI GEO under the accession number GSE40402.
This microarray dataset has been published in the MIAME compliant Array Express Archive [EMBL_EBI E-MEXP-2082 [EMBL_EBI E-MEXP-2082 [EMBL_EBI E-MEXP-2082
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The normalized microarray dataset have been deposited in the NCBI Gene Expression Omnibus GSE56011.
Let us model a gene network containing n genes (denoted by X 1, X 2 …, X n ) with a corresponding microarray dataset having N time points.
Integrated analysis of multiple independent microarray datasets has drawn noteworthy interests recently [ 20- 22].
However, the meta-analysis for pathway analysis based on multiple microarray datasets has not been systematically pursued.
The advent of gene expression profiling, together with the more recent introduction of functional classification of microarray datasets, has enabled researchers to gain greater insight into the underlying processes that drive neoplastic growth and influence therapeutic responsiveness and outcome.
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