Hi,
We tried expresso() in R, but with bad luck.
>eset <- expresso(data, bgcorrect.method="mas",
normalize.method="qspline",
>pmcorrect.method="subtractmm", summary.method="playerout")
background correction: mas
normalization: qspline
PM/MM correction : subtractmm
expression values: playerout
background correcting...done.
normalizing...[1] "samples= 100 k= 5 first= 0"
Error in rep(data, t1) : invalid number of copies in "rep"
In addition: Warning message:
'k' found is non-sense. using default in:
normalize.qspline(t(intensity(abatch)), ...)
>
In R we want to imitate the .CHP file we get from an .CEL file in
Affymetrix Microarray Suite. Is there anyone that know how to tweek
the parameters in expresso() to reach that result?
Best regards
Daniel Marcus
On Mon, Jun 16, 2003 at 03:50:59PM +0000, Daniel ~ wrote:
>
> Hi,
>
> We tried expresso() in R, but with bad luck.
Some people associate luck good or bad with numbers...
Could we know what are the version numbers for both R and the
package 'affy' ?
>
> >eset <- expresso(data, bgcorrect.method="mas",
normalize.method="qspline",
> >pmcorrect.method="subtractmm", summary.method="playerout")
> background correction: mas
> normalization: qspline
> PM/MM correction : subtractmm
> expression values: playerout
> background correcting...done.
> normalizing...[1] "samples= 100 k= 5 first= 0"
> Error in rep(data, t1) : invalid number of copies in "rep"
> In addition: Warning message:
> 'k' found is non-sense. using default in:
> normalize.qspline(t(intensity(abatch)), ...)
> >
>
>
> In R we want to imitate the .CHP file we get from an .CEL file in
> Affymetrix Microarray Suite. Is there anyone that know how to tweek
> the parameters in expresso() to reach that result?
There is no parameter I know of that would do that.
However, other functions (eventually added by snippets of R code you
made)
should let you have what you want.
Hopin' it helps,
L.
i dont fully understand your email, but im guessing the function
mas5
may be what you are looking for. mas5 basically does
expresso(data,bgcorrect.method="mas",pmcorrect.method="mas",
normalize=FALSE,summary.method="mas",...)
but it also normalizes using the function: affy.scalevalue.exprSet
rafael
ps - data is a function in R's base package. i prefer using Data or
mydata.
On Mon, 16 Jun 2003, Daniel ~ wrote:
>
> Hi,
>
> We tried expresso() in R, but with bad luck.
>
> >eset <- expresso(data, bgcorrect.method="mas",
normalize.method="qspline",
> >pmcorrect.method="subtractmm", summary.method="playerout")
> background correction: mas
> normalization: qspline
> PM/MM correction : subtractmm
> expression values: playerout
> background correcting...done.
> normalizing...[1] "samples= 100 k= 5 first= 0"
> Error in rep(data, t1) : invalid number of copies in "rep"
> In addition: Warning message:
> 'k' found is non-sense. using default in:
> normalize.qspline(t(intensity(abatch)), ...)
> >
>
>
> In R we want to imitate the .CHP file we get from an .CEL file in
> Affymetrix Microarray Suite. Is there anyone that know how to tweek
> the parameters in expresso() to reach that result?
>
> Best regards
> Daniel Marcus
>
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