[BioC] multiple groups time course RNA Seq LIMMA

[Riba Michela]

Dear Gordon, 
Thanks for the answer. I've been working on these data for some time. It was obvious how to extract DGE for treatment vs control (just looking at the coefficient names), nevertheless I still do not get how to find genes that change between two experimental groups and the control. I would like to use makeContrasts in order to explicitly define the possibly complex comparisons in my analysis. 
I've tried to write something like:

contrast.matrix <- makeContrast("(sum of the X.coefficient for group 1) - (sum of the X.coefficient for group2)", levels=design)

In my first attempt I've set group2 the same as control, this to see if the explicit contrast gives the same results as the standard analysis. Alas, it doesn't. 
How should I specifiy contrasts when more than one factor (i.e. the spline coefficients) characterizes a single condition?
Best, 

Michela


Il giorno 15/gen/2014, alle ore 00:53, Gordon K Smyth <smyth at wehi.edu.au> ha scritto:

> Dear Riba,
> 
> The advice given in Section 9.6.2 of the User's Guide will still work fine 
> even when Group as more than two levels.
> 
> Just type colnames(fit) and it will be obvious which coefficients 
> correspond to which experimental group.
> 
> Yes, you could use contrast.fit() if you wish, but there seems to me to be 
> no reason to do so.
> 
> Best wishes
> Gordon
> 
>> Date: Tue, 14 Jan 2014 11:53:11 +0100
>> From: Riba Michela <riba.michela at hsr.it>
>> To: "bioconductor at r-project.org" <bioconductor at r-project.org>
>> Subject: [BioC] multiple groups time course RNA Seq LIMMA
>> 
>> 
>> Hi,
> 
>> I'm approaching a RNA-seq experiment concerning the analysis of a time 
>> course of 5 time points in 6 experimental groups (including Control 
>> group).
> 
>> As an example:
>> 
>> FileName Group Time
>> a Control 6hr
>> b Control 24h
>> ...
>> e ExpG1 6hr
>> f ExpG1 24hr
>> ...
>> l ExpG2 6hr
>> m ExpG2 24hr
>> ...
>> (ExpG1, ExpG2 are experimental groups)
>> 
>> I'm going to use LIMMA for extraction of time changing genes in the 
>> single experimental groups compared to Control group.
>> 
>> I'd like to see how to extract this result in the topTable (i.e. which 
>> coefficients select) for each single comparison of the experimental 
>> group towards Control) since from the provided example in the LIMMA 
>> manual (pag. 49) such topTable is referred to a design concerning one 
>> single experimental group towards Control in a time course instead of 
>> multiple experimental groups.
>> 
>> Is there in addition the possibility to design a contrast matrix in such 
>> situations or is it better to consider topTables using various 
>> coefficients blocks?
>> 
>> 
>> Thanks a lot for your answer
>> Michela Riba
>> 
>> ...
>> 
>> Dr. Michela Riba
>> Genome Function Unit
>> Center for Translational Genomics and Bioinformatics
>> San Raffaele Hospital
>> Milano
>> ...
> 
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