Hi Xinjun.

Here is a quick sketch of what I might do.

1. Run everything to get FIRMA scores.  See group page for running  
details and the Purdom Bioinformatics 2008 paper for methodological  
details.

2a. If Nn or Nc > 1, use 'limma' to look for a difference in FIRMA  
scores between your two groups.  See threads:
http://groups.google.com/group/aroma-affymetrix/browse_thread/thread/36d8c59d742fc503/
http://groups.google.com/group/aroma-affymetrix/browse_thread/thread/7d2645bd76cc2023/

2b. If you have say patient samples (and a good number of them), you  
might expect only a subset of your C or N patients to have a splicing  
aberration.  In this case, maybe you just want to look for large-in- 
magnitude FIRMA scores.

... maybe you also want to look at interesting probesets via  
GenomeGraphs:
http://groups.google.com/group/aroma-affymetrix/web/using-the-genomegraphs-package-with-firma

Cheers,
Mark


On 24/04/2009, at 1:01 AM, liszt wrote:

>
> Hi:
>
> Now I have  N CEL files from both normal and cancer tissue. The two
> groups contains Nn and Nc CEL files separately (Nn = Nc). I want to
> investigate the difference in gene's splicing pattern  between normal
> tissue and cancerous tissue. Would you give me some tips? ( I have
> read the document and got no answers) Thanks!
>
> Xinjun
> >

------------------------------
Mark Robinson
Epigenetics Laboratory, Garvan
Bioinformatics Division, WEHI
e: m.robin...@garvan.org.au
e: mrobin...@wehi.edu.au
p: +61 (0)3 9345 2628
f: +61 (0)3 9347 0852
------------------------------





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