Qpcr Gene Expression Fold Change Analysis : Which Simple Statistical Test Would Fit!!!!

Question

[Sukhi Singh]

Hi, I have 23 different targeting clones (divided in 3 groups) in which a same gene is expressed and I have the fold change values of these genes (calculated from CT values against a house keeping gene as control).

So, I would like to use a test, where I can show the difference among the groups is significant or not. What could I use (t-test paired - unpaired, dependent or something else ??)

I use R so a specialized package I wont mine, I know there are packages like HTqPCR,NormqPCR but they go from start (CT values) and I already have the fold change values and the standard error, so a simple test would be good.

Thanks

[Michael]

Given you got more than two groups, Anova or non-parametric alternatives could be it. Is that enough detail?

[Sukhi Singh]

I think, I should go for Anova because of 3 groups or Kruskal–Wallis. Thanks

Answer 1

[Julien Textoris]

You may have a look at this amazing website on R and stats and the book that was written R in action. It has helped me several times to choose which test is best.

[Sukhi Singh]

Thanks Julien, this looks like a nice R reference.