Thanks a lot Henrik. Your info is really helpful and I made everything
running.
Just as a suggestion, these \hat\sigma_{\delta} estimates could be
either stored somewhere for each cbs sub-region, or simlply added as
one more column to “regions.xls”.
Best wishes
Max
On Sep 3, 2:27 pm, Henrik Be
Hi.
On Wed, Sep 2, 2009 at 8:56 PM, Max Moldovan wrote:
>
> Thanks for your information Henrik.
>
> 1. I can extract sigma estimates using you first suggestion:
>
> rawCNs <- extractRawCopyNumbers(cbs, array=3, chromosome=9);
> sigma <- estimateStandardDeviation(rawCNs);
>
> A colleague of mine r
Thanks for your information Henrik.
1. I can extract sigma estimates using you first suggestion:
rawCNs <- extractRawCopyNumbers(cbs, array=3, chromosome=9);
sigma <- estimateStandardDeviation(rawCNs);
A colleague of mine recommended an alternative way apparently leading
to the same results (in
Hi.
On Tue, Sep 1, 2009 at 10:04 PM, Max Moldovan wrote:
>
> Hi People,
>
> I have the following sequence of commands:
>
> chipType <- "GenomeWideSNP_5";
> cdfTags <- "Full,r2";
> cdf <- AffymetrixCdfFile$byChipType(chipType, tags=cdfTags)
> print(cdf)
> gi <- getGenomeInformation(cdf)
> print(gi
