It has been shown that by calculating the Pearson correlation between genes, one can identify (by high values, i.e. > 0.9) genes that share a common regulation mechanism such as being induced/repressed by the same transcription factors:
I had an idea. How about using my microarray data of gene expression of 40000 genes in 28 samples and calculate the correlation between all 40000 genes (variables).
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