Hi,

I've done a model design and I hope someone can help out with my understanding of it!

I have an experimental setup that looks something like this:

**3 Time points (0hrs, 6hrs, 12hrs)**

**3 Different Conditions (Treatments A, B and C)**

So that makes **9 different combinations** of time points and treatments, each is in triplicate. There are therefore** 27 Samples**.

My design formula is : **~ Treatment + TimePoint + Treatment:TimePoint**

My current understanding is this will give me small pValues of Treatment-specific effects over time?

I wanted to further refine this and look at a specific treatment and how it differs between two time points. So I used the following line:

`foo <- list(c(“TreatmentA.TimePoint12hrs"), c(“TreatmentA.TimePoint0hrs"))`

`resMFType <- results(dds, contrast=foo)`

Is this correct?

Thanks,

hi Andrew,

We try to discourage cross-posting to multiple online forums simultaneously as it makes it hard to follow the trail of responses for other users with the same question, and it duplicates the effort for the answerers.

Here's a link to the Bioc post https://support.bioconductor.org/p/63201/#63206

No problems, sorry!