Hi Hailei.

This has been discussed before as well.  You might start with:

http://groups.google.com/group/aroma-affymetrix/browse_thread/thread/36d8c59d742fc503/
http://groups.google.com/group/aroma-affymetrix/browse_thread/thread/f4d015cae1848f51/

You should definitely take log2 before proceeding with FIRMA scores.   
Since they are a summary of residuals for a probeset (see the paper  
for details), you will have positive and negative numbers.

Cheers,
Mark


On 17-Oct-09, at 3:46 AM, hailei....@gmail.com wrote:

>
> Dear All,
>
> I have 2 tumor samples and 2 control samples and want to find
> alternative splicing.
>
> After I got the FIRMA score, Could I use limma to find the alternative
> splicing?
>
> Before using limma, I did log2 scale to FIRMA score. But I found there
> are a lot of negative value in data set. It is common?
>
> Original Firma score:
> head(exFirma)
>  unitName groupName unit group cell RD2009092839 RD2009092840
> RD2009092841
> 1  6838637   4304927    1     1    1    0.4586444    0.2794902
> 1.8639828
> 2  6838637   4330595    1     2    2    0.6102609    0.9152724
> 1.3151890
> 3  6838637   4356771    1     3    3    1.6570473    0.1941053
> 1.3088931
> 4  6838637   4366326    1     4    4    0.7417230    1.8255262
> 0.7095107
> 5  6838637   4367951    1     5    5    1.0001453    1.3591065
> 0.6875097
> 6  6838637   4396376    1     6    6    1.4089704    0.4405679
> 1.1440083
>  RD2009092842
> 1    1.3710542
> 2    1.3612753
> 3    0.8766123
> 4    0.6292946
> 5    1.2785655
> 6    0.6761603
>
> log2 score:
>> head(exFirma)
>  unitName groupName unit group cell  RD2009092839 RD2009092840
> RD2009092841
> 1  6838637   4304927    1     1    1 -1.1245521013   -1.8391304
> 0.8983885
> 2  6838637   4330595    1     2    2 -0.7125019273   -0.1277269
> 0.3952701
> 3  6838637   4356771    1     3    3  0.7286147599   -2.3650883
> 0.3883473
> 4  6838637   4366326    1     4    4 -0.4310475869    0.8683124
> -0.4951036
> 5  6838637   4367951    1     5    5  0.0002096316    0.4426586
> -0.5405480
> 6  6838637   4396376    1     6    6  0.4946412584   -1.1825638
> 0.1940975
>  RD2009092842
> 1    0.4552856
> 2    0.4449589
> 3   -0.1899892
> 4   -0.6681926
> 5    0.3545261
> 6   -0.5645628
>
> Thanks
>
> Hailei
> >

------------------------------
Mark Robinson, PhD (Melb)
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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