Hi all,
I have HGU133a , HGU133b chips done in the same set of samples.
Additionally I have hgu133plus2 chips in a different set of samples.
Since "a+b" is almost "plus2", is tehre a way to combinethose two
affybatchs ?
Any guidance will be appreciated!!
Mayte Suarez-Farinas
Research Assistant Professor, Laboratory of Investigative Dermatology
Biostatistician, Center for Clinical and Translational Science
The Rockefeller University
1230 York Ave, Box 178,
New York, NY, 10065
Phone: +1(212) 327-8213
Fax: +1(212) 327-8232
Hi all,
I have HGU133a , HGU133b chips done in the same set of samples.
Additionally I have hgu133plus2 chips in a different set of samples.
Since "a+b" is almost "plus2", is tehre a way to combinethose two
affybatchs ?
Any guidance will be appreciated!!
Mayte Suarez-Farinas
Research Assistant Professor, Laboratory of Investigative Dermatology
Biostatistician, Center for Clinical and Translational Science
The Rockefeller University
1230 York Ave, Box 178,
New York, NY, 10065
Phone: +1(212) 327-8213
Fax: +1(212) 327-8232
Hi Mayte,
The short answer is no.
You could hypothetically create a mixture cdf that only contains
probesets that are in the intersection of these three chip types and
then normalize. Ben Bolstad has a page containing mixture cdfs for
some
arrays (http://bmbolstad.com/misc/mixtureCDF/MixtureCDF.html) but he
never to my knowledge made one for the arrays you have.
In general, I think you would be better off to normalize separately
and
then combine.
Best,
Jim
On 4/27/2012 4:27 PM, Mayte Suarez-Farinas wrote:
> Hi all,
>
> I have HGU133a , HGU133b chips done in the same set of samples.
Additionally I have hgu133plus2 chips in a different set of samples.
> Since "a+b" is almost "plus2", is tehre a way to combinethose two
affybatchs ?
>
> Any guidance will be appreciated!!
>
>
>
> Mayte Suarez-Farinas
> Research Assistant Professor, Laboratory of Investigative
Dermatology
> Biostatistician, Center for Clinical and Translational Science
> The Rockefeller University
> 1230 York Ave, Box 178,
> New York, NY, 10065
> Phone: +1(212) 327-8213
> Fax: +1(212) 327-8232
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
http://news.gmane.org/gmane.science.biology.informatics.conductor
--
James W. MacDonald, M.S.
Biostatistician
University of Washington
Environmental and Occupational Health Sciences
4225 Roosevelt Way NE, # 100
Seattle WA 98105-6099
Hi,
On Fri, Apr 27, 2012 at 4:51 PM, James W. MacDonald <jmacdon at="" uw.edu=""> wrote:
> Hi Mayte,
>
> The short answer is no.
>
> You could hypothetically create a mixture cdf that only contains
probesets
> that are in the intersection of these three chip types and then
normalize.
> Ben Bolstad has a page containing mixture cdfs for some arrays
> (http://bmbolstad.com/misc/mixtureCDF/MixtureCDF.html) but he never
to my
> knowledge made one for the arrays you have.
>
> In general, I think you would be better off to normalize separately
and then
> combine.
Wouldn't another approach be to use one of them there meta-analysis
type approaches, such as:
http://www.bioconductor.org/packages/2.10/bioc/html/RankProd.html or
http://www.bioconductor.org/packages/2.10/bioc/html/metaArray.html
or?
Never used them myself, but my mental note for these packages was
there for when I wanted to tackle such a situation (notes can be
wrong, of course -- mental ones, even more so since no ink was
actually invested).
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
?| Memorial Sloan-Kettering Cancer Center
?| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact