To test other possibilities, I modified the following function
theta <- extractMatrix(ces, returnUgcMap=TRUE)
to
theta <- extractMatrix(ces, returnRefcMap=TRUE)
It gave the same result.

On Aug 14, 11:57 am, tea <ywcu...@gmail.com> wrote:
> Hi Mark,
>
> The following are the outputs:> cdf<- getCdf(cs)
> > print(cdf)
>
> AffymetrixCdfFile:
> Path: annotationData/chipTypes/HG-U133A
> Filename: HG-U133A.cdf
> Filesize: 41.16MB
> Chip type: HG-U133A
> RAM: 0.00MB
> File format: v3 (text; ASCII)
> Dimension: 712x712
> Number of cells: 506944
> Number of units: 17599
> Cells per unit: 28.81
> Number of QC units: 10> print(getMonoCell(cdf))
>
> AffymetrixCdfFile:
> Path: annotationData/chipTypes/HG-U133A
> Filename: HG-U133A,monocell.CDF
> Filesize: 3.11MB
> Chip type: HG-U133A,monocell
> RAM: 0.00MB
> File format: v4 (binary; XDA)
> Dimension: 147x146
> Number of cells: 21462
> Number of units: 17599
> Cells per unit: 1.22
> Number of QC units: 10> print(getCdf(ces))
>
> AffymetrixCdfFile:
> Path: annotationData/chipTypes/HG-U133A
> Filename: HG-U133A,monocell.CDF
> Filesize: 3.11MB
> Chip type: HG-U133A,monocell
> RAM: 0.00MB
> File format: v4 (binary; XDA)
> Dimension: 147x146
> Number of cells: 21462
> Number of units: 17599
> Cells per unit: 1.22
> Number of QC units: 10
>
> On Aug 14, 1:51 am, Mark Robinson <mrobin...@wehi.edu.au> wrote:
>
> > Hi Yiwen.
>
> > Can you check a couple quick things for me?
>
> > What does the output of these give:
>
> > cdf <- getCdf(cs)
>
> > print(cdf)
>
> > print(getMonoCell(cdf))
>
> > print(getCdf(ces))
>
> > Cheers,
> > Mark
>
> > On 14-Aug-09, at 1:44 PM, tea wrote:
>
> > > Hi,
>
> > > I used the script in the following page:
> > >http://groups.google.com/group/aroma-affymetrix/web/redundancy-tests
> > > to process a dataset of 189 arrays using Human custom refseq CDF
> > > version 10, HGU133A_Hs_REFSEQ
> > > After I finished
> > > fit(plm, verbose=verbose)
> > > I got the following message:
> > > "
> > > Total time for all units across all 189 arrays: 532.37s == 8.87min
> > > Total time per unit across all 189 arrays: 0.04s/unit
> > > Total time per unit and array: 0.235ms/unit & array
> > > Total time for one array (17599 units): 0.07min = 0.00h
> > > "
> > > When I finished up to the code
> > > ces <- getChipEffectSet(plm);
> > > theta <- extractMatrix(ces, returnUgcMap=TRUE);
> > > theta <- log2(theta);
> > > ugcMap <- attr(theta, "unitGroupCellMap");
> > > rownames(theta) <- getUnitNames(getCdf(ces), ugcMap[,"unit"]
> > > and type
>
> > > dim(theta)
> > > I found that he total number of probesets is only 11979.
> > > "11979   189"
>
> > > If I used affy(rma) and tested on a small number of CEL file from the
> > > same dataset, the total number of probesets is 17599.
>
> > > From the custom cdf document the total number of probeset of this cdf
> > > is 17531, so with the "AFFX" probes(68),
> > > the total number should be 17599. I was wondering what parameter
> > > should be used to get right number of probesets from cdf file for
> > > refseq, entrezg, ug respectively
>
> > > Thank you very much.
>
> > > -Yiwen Chen
>
> > ------------------------------
> > 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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version of the package, 2) to report the output of sessionInfo() and 
traceback(), and 3) to post a complete code example.


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