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With specific regard to DNA microarray datasets, the method is designed to support computationally intensive model selection in classification problems in which the number of features is much larger than the number of samples.
In concordance with the MAQC established framework [38], designed to increase the consistency of microarray datasets, the majority of arrays in this study cluster within 2 standard deviations when assessed by quality metrics (Figure 8 A).
For both microarray datasets, the gene expressions were extracted from the.
Thus, for the studied microarray datasets, the discretization of gene expression values is an essential step.
PTHLH expression profiles of renal tumor in the published DNA microarray datasets (the GEO datasets, GSE11151 and GSE15641).
Therefore, we referred to the PTHLH expression profiles of renal tumor in the previously published DNA microarray datasets (the GEO datasets, GSE11151, and GSE15641; Table S1).
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If a statistically significant enrichment of expressed FBX genes was observed in a microarray dataset, the biological functions tested by the microarray was retrieved.
In our DNA microarray dataset, the IFNB1 (IFN-β) gene is upregulated 80%.
For the microarray dataset, the gene must have log2-transformed expression value ≥ 7.65 in at least one condition.
Using a large-scale gene expression microarray dataset, the ARACNe algorithm was applied to both tissue types independently.
For each microarray dataset, the probe set intensities were normalized using Robust Multi-array Average (RMA) procedure.
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