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
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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