[BioC] limma Time Course Experiments question
Marcelo Laia
marcelolaia at gmail.com
Tue Mar 31 23:13:23 CEST 2009
Hi,
I have did an analysis like limma 8.8 section "Time Course Experiments"
I will paste the text here and after I will make a question.
> lev <- c("wt.0hr","wt.6hr","wt.24hr","mu.0hr","mu.6hr","mu.24hr")
> f <- factor(targets$Target, levels=lev)
> design <- model.matrix(~0+f)
> colnames(design) <- lev
> fit <- lmFit(eset, design)
Which genes respond at either the 6 hour or 24 hour times in the
wild-type? We can find
these by extracting the contrasts between the wild-type times.
> cont.wt <- makeContrasts(
+ "wt.6hr-wt.0hr",
+ "wt.24hr-wt.6hr",
+ levels=design)
> fit2 <- contrasts.fit(fit, cont.wt)
> fit2 <- eBayes(fit2)
> topTableF(fit2, adjust="BH")
Any two contrasts between the three times would give the same result.
The same gene list
would be obtained had "wt.24hr-wt.0hr" been used in place of
"wt.24hr-wt.6hr" for example.
Which genes respond in the mutant?
> cont.mu <- makeContrasts(
+ "mu.6hr-mu.0hr",
+ "mu.24hr-wt.6hr",
+ levels=design)
> fit2 <- contrasts.fit(fit, cont.mu)
> fit2 <- eBayes(fit2)
> topTableF(fit2, adjust="BH")
Which genes respond differently in the mutant relative to the wild-type?
> cont.dif <- makeContrasts(
+ Dif6hr =(mu.6hr-mu.0hr)-(wt.6hr-wt.0hr),
+ Dif24hr=(mu.24hr-mu.6hr)-(wt.24hr-wt.6hr),
+ levels=design)
> fit2 <- contrasts.fit(fit, cont.dif)
> fit2 <- eBayes(fit2)
> topTableF(fit2, adjust="BH")
topTableF give me something like this:
ID wt.0hr wt.6hr F P.Value adj.P.Val
248 B-1:7 -0.27 -3.23 27.30 4.16e-08 0.000
360 B-2:9 -0.08 -2.62 23.10 2.56e-07 0.000
1999 I-16:8 -0.82 3.00 19.11 1.72e-06 0.001
487 C-1:6 -0.02 -2.92 18.99 1.82e-06 0.001
201 A-6:1 1.21 -3.36 18.92 1.89e-06 0.001
What the values in the columns wt.0hr and wt.6hr means? I could
consider these values like fold change? For example, gene B-1:7 is
3.23 log fold change down regulate in time 6hr in relation to time
0hr. And in relation to time 24hr?
If the contrasts "wt.24hr-wt.0hr" and "wt.24hr-wt.6hr" are equals, how
I could know if gene B-1:7 is more expressed in time 6 than time 24,
for example?
Is there a way to plot a graph with expression in y-axis and time on
x-axis for differentially expressed genes? How I could do this for
this example?
Thank you very much
--
Marcelo Luiz de Laia
Universidade do Estado de Santa Catarina
UDESC - www.cav.udesc.br
Lages - SC - Brazil
Linux user number 487797
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