[aroma.affymetrix] defining cell files

2009-06-04 Thread Myriam
Hi, I have done (and seems OK, no error message) the low level analysis of the GenomeWideSNP_6.0 for preparing the analysis of my Affymetrix results in 50 samples. However, I cannot get through the steps of defining the CEL files set. I have put all the CEL files in rawData/CLP/GenomeWideSNP_6.0

[aroma.affymetrix] Re: defining cell files

2009-06-04 Thread Pierre Neuvial
Hi Myriam, On Thu, Jun 4, 2009 at 4:38 AM, Myriam myriam.peyr...@ki.se wrote: Hi, I have done (and seems OK, no error message) the low level analysis of the GenomeWideSNP_6.0 for preparing the analysis of my Affymetrix results in 50 samples. However, I cannot get through the steps of

[aroma.affymetrix] Re: FIRMAGene

2009-06-04 Thread ettore
I have the following question. In the sup3.R file the probe level model fitting is realised using the instructions: plm - RmaPlm(csNU) fit(plm, verbose=verbose) where csNU is an object obtained after background correction, quantile normalisation and conversion of the cdf to a unique version. I

[aroma.affymetrix] Re: defining cell files

2009-06-04 Thread Myriam Peyrard
Ok, thank you so much, Pierre. I shall try and if not working, get back to you again. The output I gave you was the one I got but, finally (my second day using R and Aroma Affymetrix, as I sai, a brand new beginner!!!), at the end of the day, I realized that I had forgotten to open the aroma

[aroma.affymetrix] Re: defining cell files

2009-06-04 Thread Henrik Bengtsson
library(aroma.affymetrix) for loading the package. /H On Thu, Jun 4, 2009 at 8:45 AM, Myriam Peyrard myriam.peyr...@ki.se wrote: Ok, thank you so much, Pierre. I shall try and if not working, get back to you again. The output I gave you was the one I got but, finally (my second day using

[aroma.affymetrix] Re: FIRMAGene

2009-06-04 Thread Mark Robinson
Hi Ettore. Comments below. I have the following question. In the sup3.R file the probe level model fitting is realised using the instructions: plm - RmaPlm(csNU) fit(plm, verbose=verbose) where csNU is an object obtained after background correction, quantile normalisation and