[BioC] how to 'bootstrap' expression data?

[Johnstone, Alice]

Hi,
I have a set of Affymetrix array data 3 groups  (two treatment one
control) of 5 individuals in each.  I have analysed by fitting my model
with a contrast of treatment-control, and treatment2-control to the
linear model, using an eBayes correction, then listed the top genes
using topTable.  I have been asked to 'bootstrap' my results to
'weed-out' false positives before QPCR validation.  
Is this a necessary step?  And if so at what stage do I use it and how
do I go about applying it to my expression data to find the
differentially expressed genes?
My background is definitely not in statistics so any discussion or
pointers would be gratefully received!

Thank you

Alice

P Think before you print
This e-mail transmission and any attachments that accompany it may contain information that is privileged, confidential or otherwise exempt from disclosure under applicable law and is intended solely for the use of the individual(s) to whom it was intended to be addressed.
If you have received this e-mail by mistake, or you are not the intended recipient, any disclosure, dissemination, distribution, copying or other use or retention of this communication or its substance is prohibited. If you have received this communication in error, please immediately reply to the author via e-mail that you received this message by mistake and also permanently delete the original and all copies of this e-mail and any attachments from your computer. Thank you.