[BioC] Packages for differentially expressed genes

[Gordon K Smyth]

limma is still relevent of course -- we use it just as much for two group 
comparisons as for more complex designs.

Best
Gordon

> Date: Mon, 05 Nov 2012 16:56:09 +0100
> From: Peter Kupfer <peter.kupfer at me.com>
> To: "bioconductor at r-project.org" <bioconductor at r-project.org>
> Subject: [BioC] Packages for differentially expressed genes
>
> Dear all,

> first time for my to work with steady state data. Two groups and 30 
> arrays (hgu133a- arrays) in total. In the past I worked with time course 
> and/or limma to detect differentially expressed genes. Are there any 
> packages which you would recommend for the detection of differentially 
> expressed genes?

> Would be nice if I get some new inputs.

> All the best
> Peter

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