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By meta-analysis of 4 independent microarray datasets, they generated a cohort of genes that were commonly deregulated in PCa.
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But when pooled with our DNA microarrays dataset they did not form a tight cluster.
As more and more microarray datasets and technologies development, they have gradually become standard resources and tools to analysis complex disease.
They collected 38 microarray datasets with experimentally determined true DEGS by real-time polymerase chain reaction (RT-PCR).
Fibroblast strains; microarray dataset in whichh they have been analysed (1 – 3); ARD or GS, patient strain-ID; F, normal male foreskin fibroblasts; S, normal male scrotal fibroblasts.
Because microarray datasets comprise tens of thousands of features (genes), they are usually used to test the dimension reduction techniques.
A major issue of current DEG algorithms is that they have difficulty to deal with small-size microarray datasets.
They cite several reports, which indicate that normalization distorts the correlations obtained from microarray datasets.
This enrichment was further validated in the independent microarray datasets (Supplementary Fig. 25).
A scalable method for integration and functional analysis of multiple microarray datasets.
A snapshot of gene expression signatures generated using microarray datasets associated with excessive scarring.
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