[BioC] design matrix for timecourse experiment
Gareth Bloomfield
gb2 at sanger.ac.uk
Wed Mar 31 15:52:39 CEST 2004
Hi,
We are currently planning a timecourse experiment, which will be analysed
using Limma, and would be grateful for some advice on the design matrix we
have come up with... Sorry, it's quite complicated and may take some
figuring out if I haven't explained it as well as I might........
The experiment consists of cells teated with 2 different drugs, with
samples taken after 3 different times after addition of drug. Instead of
the simple possibility of comparing everything back to the untreated t0
sample, we are currently favouring making a loop out of the untreated
samples (t0, t1, t2, t3), then comparing the two treatments at each
timepoint to the untreated sample at that timepoint. All comparisons will
be in both dye orientations.
The possible design matrix we have is as follows-
Slide Untreated Drug1 Drug2
t1-t0 t2-t1 t3-t2 t1-t0 t2-t1 t3-t2 t1-t0 t2-t1 t3-t2
1 1 0 0 0 0 0 0 0 0
2 -1 0 0 0 0 0 0 0 0
3 0 1 0 0 0 0 0 0 0
4 0 -1 0 0 0 0 0 0 0
5 0 0 1 0 0 0 0 0 0
6 0 0 -1 0 0 0 0 0 0
7 -1 0 0 1 0 0 0 0 0
8 1 0 0 -1 0 0 0 0 0
9 -1 0 0 0 0 0 1 0 0
10 1 0 0 0 0 0 -1 0 0
11 -1 -1 0 1 1 0 0 0 0
12 1 1 0 -1 -1 0 0 0 0
13 -1 -1 0 0 0 0 1 1 0
14 1 1 0 0 0 0 -1 -1 0
15 -1 -1 -1 1 1 1 0 0 0
16 1 1 1 -1 -1 -1 0 0 0
17 -1 -1 -1 0 0 0 1 1 1
18 1 1 1 0 0 0 -1 -1 -1
We hope that this will give us after linear model fitting data
corresponding to the separate timecourses for the untreated and 2 sets of
treated cells - have we done this sensibly?
Many thanks in advance for any advice at all,
Gareth
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