How to put out the normalization result of limma as a *.txt file?
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@sean-davis-490
Last seen 3 months ago
United States
I think this was answered at least once before: https://stat.ethz.ch/pipermail/bioconductor/2004-April/004362.html To do the search of the list archives yourself, just go to: http://www.bioconductor.org/ There is a link on the left to "searchable mail archives". Also, google is your friend. Sean -----Original Message----- From: xpzhang To: bioconductor Sent: 6/14/2004 9:44 AM Subject: [BioC] How to put out the normalization result of limma as a *.txt file? Hello everyone! I am looking for methods to put out the normalization result. I used limma to do the normalization. I found out the command in R's document, write.table. But I don't know how to use it. Could anybody teach me? Thank you very much! -- Xiaopeng ZHANG<xpzhang@genetics.ac.cn> _______________________________________________ Bioconductor mailing list Bioconductor@stat.math.ethz.ch https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor
Normalization GO limma Normalization GO limma • 1.0k views
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Hao Liu ▴ 130
@hao-liu-618
Last seen 10.2 years ago
Dear All: I wonder if there is a way to read in all the CEL file for a project using ReadAffy(), my Linux workstation has 2G memory but apparently it is not enough for 200 chips (HGU133). Anyway to bypass this? Or can I read them in separately, then combine them later? Thanks Hao
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It depends on what it is that you want to do. If for instance the only low level processing you want to do is computing RMA expression measures then the function justRMA() might be want you want. Ben On Tue, 2004-06-15 at 17:48, Hao Liu wrote: > Dear All: > > I wonder if there is a way to read in all the CEL file for a project using > ReadAffy(), my Linux workstation has 2G memory but apparently it is not > enough for 200 chips (HGU133). > > Anyway to bypass this? Or can I read them in separately, then combine them > later? > > Thanks > Hao > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor -- Ben Bolstad <bolstad@stat.berkeley.edu> http://www.stat.berkeley.edu/~bolstad
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