I have a set of microarray timeseries (approx. 18000 genes and 7 time points per gene) data that I have correlated with a template (a vector of length 7). I have also correlated random data from a normal distribution with the same mean and standard deviation as my data set with the template, as well as, correlating a random permutation of my data set with the template. So I now have 3 vectors of length 18000 contains correlation coefficients. I was wondering if there was a test in R to determine if the correlation coefficients are significantly different. In particular, I want to compare the correlation coefficients from my data set with each of the other two. Thank you for any help you can give me.
Sincerely,
Matt
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