From Limma to SAM
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@utepandragontiscaliit-476
Last seen 10.2 years ago
Gordon wrote: >This isn't an error in limma of course, rather you have tried to use a >function (write.table) on an inappropriate object. Do you want to output >the normalized log-ratios? If so, you might try >write.table(MA$M, file="your_file.txt",sep="\t") I've tried write.table(MA$M, file="your_file.txt",sep="\t") and it's OK, but i'd like to output my normalized-between-array (unlogged or Log2) data to SAM. Is it possible? __________________________________________________________________ Tiscali ADSL SENZA CANONE, paghi solo quando navighi! E in pi? il modem e' GRATIS! Abbonati subito. http://point.tiscali.it/adsl/index.shtml
limma limma • 1.2k views
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@gordon-smyth
Last seen 23 minutes ago
WEHI, Melbourne, Australia
> Gordon wrote: >>This isn't an error in limma of course, rather you have tried to use a > >>function (write.table) on an inappropriate object. Do you want to >> output > >>the normalized log-ratios? If so, you might try >>write.table(MA$M, file="your_file.txt",sep="\t") > > I've tried write.table(MA$M, file="your_file.txt",sep="\t") and it's OK, > but i'd like to output my normalized-between-array (unlogged or Log2) > data to SAM. Is it possible? I suggest you ask the SAM people Gordon _________________________________________________________________ > Tiscali ADSL SENZA CANONE, paghi solo quando navighi! > E in pi? il modem e' GRATIS! Abbonati subito. > http://point.tiscali.it/adsl/index.shtml
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Hi, all-- I wanted to start a thread on R speed/benchmarking. There is a nice R benchmarking overview at http://www.sciviews.org/other/benchmark.htm, along with a free script so you can see how your machine stacks up. Looks like R is substantially faster than S-plus. My problem is this: with 512Mb and an overclocked AMD Athlon XP 1800+, running at 588 SPEC-FP 2000, it still takes FOREVER to analyze multiple .cel files using affy (expresso). Running svm takes a mighty long time with more than 500 genes, 150 samples. Questions: 1) Would adding RAM or processing speed improve performance the most? 2) Is it possible to run R on a cluster without rewriting my high- level code? In other words, 3) What are we going to do when we start collecting terabytes of array data to analyze? There will come a "breaking point" at which desktop systems can't perform these analyses fast enough for large quantities of data. What then? Michael Benjamin, MD Winship Cancer Institute Emory University, Atlanta, GA
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I you really want to restart a thread on this, I think "R-help" is the much more appropriate place, since this is really an R topic, not a bioconductor one. Best regards, Martin Maechler <maechler@stat.math.ethz.ch> http://stat.ethz.ch/~maechler/ Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27 ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND phone: x-41-1-632-3408 fax: ...-1228 <><
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@gordon-smyth
Last seen 23 minutes ago
WEHI, Melbourne, Australia
> Gordon wrote: >>This isn't an error in limma of course, rather you have tried to use a > >>function (write.table) on an inappropriate object. Do you want to >> output > >>the normalized log-ratios? If so, you might try >>write.table(MA$M, file="your_file.txt",sep="\t") > > I've tried write.table(MA$M, file="your_file.txt",sep="\t") and it's OK, > but i'd like to output my normalized-between-array (unlogged or Log2) > data to SAM. Is it possible? On reading your question again, I'm guessing that you're wanting the normalized single-channel red and green intensities. Is this right? If so, you can get them from RG <- RG.MA(MA) (see the last section of the Limma User's Guide) where MA is the normalized MAList object, then write RG$R and RG$G to file. Or possibly form cbind(RG$G,RG$R) and write that to one file. I do not know what the SAM software wants as input. Checking that is of course your responsibility. Gordon
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