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

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

statistics r gene
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updated by Julien Textoris Julien Textoris • written by Sukhi Singh Sukhi Singh

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

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written by Michael Dondrup Michael Dondrup

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

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written by Sukhi Singh Sukhi Singh

1 answer

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.

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written by Julien Textoris Julien Textoris

Thanks Julien, this looks like a nice R reference.

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written by Sukhi Singh Sukhi Singh

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