Dear List
I've some doubts  about the usage of a function included in oneChannelGUI
package:
According to the oneChannel manual I look that after generating the linear
model it's possible to evaluate the possibility to  correct the computed
 p-values with the function  raw p-value distribution. If  the p-values
distribution is not uniform in the non significant range is not possible to
apply any correction.
This is not completely clear to me and I'm not able to find more
documentation about the general topic of when to correct or not the
p-values.
For example examining the raw p-value plots of some microarray experiments
I've some  cases on which the raw distribution of my p-values is quite
uniform in the not significant range but the values in this range are more
abundant that the values in the significant range.
 In this case the best approach is correcting my p values (even if probably
I won't  obtain significant results) or not correcting them?
Thank you very much for every tips you could give to me

Guido

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