Hello all,
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
