another kooperberg question
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@scholzagarizonaedu-1369
Last seen 9.7 years ago
Hi all, I'm trying to run the Kooperberg correction on filtered data from genepix files. I've read my genepix data into and RGList (cleverly named RG) via a wt.fun function that filters out certain control spots that I don't want thrown into the analysis. In other words, I did: RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) I now want to take this filtered data set and run kooperberg on it. The problem I'm having is that Kooperberg apparently requires a character vector containing genepix filenames as its initial argument but what I have is an RGList, not a character vector. In other words, I would like to do something like the following: > kooperberg(RG, fg="mean", bg="median", a=TRUE, layout=RGlayout) but RG is not an acceptable "names" argument. Obviously, I can't used the targets$FileName vector I used to initially read in the RGList because this is unfiltered data, and I can't use wt.fun within kooperberg. Any ideas on how to pass filtered data on to kooperberg? Thanks Matt scholz at ag.arizona.edu --------------------------------------------- College of Agriculture and Life Sciences Web Mail. http://ag.arizona.edu
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@scholzagarizonaedu-1369
Last seen 9.7 years ago
Thanks for your reply, Mick. Unfortunately, I've actually tried this before: Rgmodel <- kooperberg(RG, fg="mean", bg="median", a=TRUE,layout=RGlayout) and the problem is that I get the following error message: "Error in matrix(0, ngenes, nslides) : cannot allocate vector of length 2105745408" Again, I think the problem is that kooperberg doesn't accept an RG list as a proper name argument. It would be nice if it did because there'd be no need to transfer the weights (as they are already part of RG). Matt > Hi Matt > > Hmmmm, something like this *should* work: > > # read in the data normally just to get the weights > RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) > > # read in the data using read.series and EXACTLT THE SAME DATA FILES as > above > # ... > Rgmodel <- kooperberg(RG, fg="mean", bg="median", a=TRUE, > layout=RGlayout) > > # transfer the weights from RG to Rgmodel > Rgmodel$weights <- RG$weights > > > I think.... > > Mick > > > -----Original Message----- > From: bioconductor-bounces at stat.math.ethz.ch > [mailto:bioconductor-bounces at stat.math.ethz.ch] On Behalf Of > scholz at Ag.arizona.edu > Sent: 12 September 2005 10:59 > To: bioconductor at stat.math.ethz.ch > Subject: [BioC] another kooperberg question > > Hi all, > > I'm trying to run the Kooperberg correction on filtered data from > genepix files. > I've read my genepix data into and RGList (cleverly named RG) via a > wt.fun function that filters out certain control spots that I don't want > thrown into the analysis. In other words, I did: > > RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) > > I now want to take this filtered data set and run kooperberg on it. The > problem I'm having is that Kooperberg apparently requires a character > vector containing genepix filenames as its initial argument but what I > have is an RGList, not a character vector. In other words, I would like > to do something like the following: > > > kooperberg(RG, fg="mean", bg="median", a=TRUE, layout=RGlayout) > > but RG is not an acceptable "names" argument. Obviously, I can't used > the targets$FileName vector I used to initially read in the RGList > because this is unfiltered data, and I can't use wt.fun within > kooperberg. Any ideas on how to pass filtered data on to kooperberg? > > Thanks > > Matt > scholz at ag.arizona.edu > > > --------------------------------------------- > College of Agriculture and Life Sciences Web Mail. > http://ag.arizona.edu > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > > --------------------------------------------- College of Agriculture and Life Sciences Web Mail. http://ag.arizona.edu
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@michael-watson-iah-c-378
Last seen 9.7 years ago
Hi Matt Hmmmm, something like this *should* work: # read in the data normally just to get the weights RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) # read in the data using read.series and EXACTLT THE SAME DATA FILES as above # ... Rgmodel <- kooperberg(RG, fg="mean", bg="median", a=TRUE, layout=RGlayout) # transfer the weights from RG to Rgmodel Rgmodel$weights <- RG$weights I think.... Mick -----Original Message----- From: bioconductor-bounces@stat.math.ethz.ch [mailto:bioconductor-bounces at stat.math.ethz.ch] On Behalf Of scholz at Ag.arizona.edu Sent: 12 September 2005 10:59 To: bioconductor at stat.math.ethz.ch Subject: [BioC] another kooperberg question Hi all, I'm trying to run the Kooperberg correction on filtered data from genepix files. I've read my genepix data into and RGList (cleverly named RG) via a wt.fun function that filters out certain control spots that I don't want thrown into the analysis. In other words, I did: RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) I now want to take this filtered data set and run kooperberg on it. The problem I'm having is that Kooperberg apparently requires a character vector containing genepix filenames as its initial argument but what I have is an RGList, not a character vector. In other words, I would like to do something like the following: > kooperberg(RG, fg="mean", bg="median", a=TRUE, layout=RGlayout) but RG is not an acceptable "names" argument. Obviously, I can't used the targets$FileName vector I used to initially read in the RGList because this is unfiltered data, and I can't use wt.fun within kooperberg. Any ideas on how to pass filtered data on to kooperberg? Thanks Matt scholz at ag.arizona.edu --------------------------------------------- College of Agriculture and Life Sciences Web Mail. http://ag.arizona.edu _______________________________________________ Bioconductor mailing list Bioconductor at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/bioconductor
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@michael-watson-iah-c-378
Last seen 9.7 years ago
Hi Matt Read in the data normally using: RG <- read.maimages(etc etc) Then read in the data *again*, using the commands I sent you a while ago ie: read.series(etc) RGmodel <- kooperberg(etc) IE do NOT pass RG to the kooperberg function. The weights from RG should transfer easily across to RGmodel. Mick -----Original Message----- From: scholz at Ag.arizona.edu [mailto:scholz at Ag.arizona.edu] Sent: Wed 14/09/2005 11:13 AM To: michael watson (IAH-C); scholz at Ag.arizona.edu; bioconductor at stat.math.ethz.ch Cc: Subject: RE: [BioC] another kooperberg question Thanks for your reply, Mick. Unfortunately, I've actually tried this before: Rgmodel <- kooperberg(RG, fg="mean", bg="median", a=TRUE,layout=RGlayout) and the problem is that I get the following error message: "Error in matrix(0, ngenes, nslides) : cannot allocate vector of length 2105745408" Again, I think the problem is that kooperberg doesn't accept an RG list as a proper name argument. It would be nice if it did because there'd be no need to transfer the weights (as they are already part of RG). Matt > Hi Matt > > Hmmmm, something like this *should* work: > > # read in the data normally just to get the weights > RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) > > # read in the data using read.series and EXACTLT THE SAME DATA FILES as > above > # ... > Rgmodel <- kooperberg(RG, fg="mean", bg="median", a=TRUE, > layout=RGlayout) > > # transfer the weights from RG to Rgmodel > Rgmodel$weights <- RG$weights > > > I think.... > > Mick > > > -----Original Message----- > From: bioconductor-bounces at stat.math.ethz.ch > [mailto:bioconductor-bounces at stat.math.ethz.ch] On Behalf Of > scholz at Ag.arizona.edu > Sent: 12 September 2005 10:59 > To: bioconductor at stat.math.ethz.ch > Subject: [BioC] another kooperberg question > > Hi all, > > I'm trying to run the Kooperberg correction on filtered data from > genepix files. > I've read my genepix data into and RGList (cleverly named RG) via a > wt.fun function that filters out certain control spots that I don't want > thrown into the analysis. In other words, I did: > > RG <- read.maimages(targets$FileName, source="genepix", wt.fun=filters) > > I now want to take this filtered data set and run kooperberg on it. The > problem I'm having is that Kooperberg apparently requires a character > vector containing genepix filenames as its initial argument but what I > have is an RGList, not a character vector. In other words, I would like > to do something like the following: > > > kooperberg(RG, fg="mean", bg="median", a=TRUE, layout=RGlayout) > > but RG is not an acceptable "names" argument. Obviously, I can't used > the targets$FileName vector I used to initially read in the RGList > because this is unfiltered data, and I can't use wt.fun within > kooperberg. Any ideas on how to pass filtered data on to kooperberg? > > Thanks > > Matt > scholz at ag.arizona.edu > > > --------------------------------------------- > College of Agriculture and Life Sciences Web Mail. > http://ag.arizona.edu > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > > --------------------------------------------- College of Agriculture and Life Sciences Web Mail. http://ag.arizona.edu
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