[BioC] Analyzing arrays with no replicates
Sean Davis
sdavis2 at mail.nih.gov
Sun Feb 20 22:02:04 CET 2005
> 4. Once I have my filtered genes, how can I test for differential
> expression among the 4 groups? I've played around with mt.maxT (with the
> test="f" option), but I haven't been able to get the proper class labels.
You won't be able to use any standard t-test. A t-test requires you to have
a standard deviation within each group. In microarray analysis, almost all
analyses are done only within gene, so since you have no replicates, you
cannot do a t-test. In fact, although limma would (I think) allow you do do
such an analysis because it uses all the genes to determine a "pooled"
standard deviation, I know that such an analysis will not pass any kind of
peer review. If you are using this for hypothesis generation, probably
using fold-change is just as useful as hypothesis testing. Others may
correct me on this (and I would like to hear what others think), but your
experimental design SERIOUSLY limits any statistics you attempt.
Sean
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