beadarray: outliers but not summary in log2-scale?
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@cei-abreu-goodger-4433
Last seen 9.8 years ago
Mexico
Hi Mark, From reading the createBeadSummaryData help page and the vignettes, I gather that you recommend using BASH to detect outliers, and then using "mean" in log2-space to summarize the data. If I plan to use vst/quantile to normalize my data, what would be the best option for processing the bead level data? I like the idea of summarizing in log2-space but I want a non-log-space result to use with vst. Is there a simple way to accomplish this? And while I'm asking this, I seem to remember hearing that you get better results without using the backgroundCorrect step. Is this recommended? Many thanks, Cei
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Mark Dunning ★ 1.1k
@mark-dunning-3319
Last seen 21 months ago
Sheffield, Uk
Hi Cei, You can summarize on the unlogged scale by using the option log=FALSE in createBeadSummaryData. We're still looking into the best combination of outlier removal to use with BASH, it could be that the Illumina method for removing outliers by a 3 MAD cut-off is still best. This is the default option in beadarray (option method="Illumina"). One final thing, If you plan to use VST method you'll need to calculate detection scores prior to running VST, this can be done by:- Detection(BSData) = calculateDetection(BSData) The type of background correction we don't recommend is the background subtraction performed by BeadStudio that subtracts the negative controls from each bead-type average on an array. This causes a huge increase in variance and missing values if you try and do a log-transformation. However, using the combination of VST and quantile as you plan should take care of these problems. Hope this helps, Mark On Tue, May 19, 2009 at 2:25 PM, Cei Abreu-Goodger <cei at="" ebi.ac.uk=""> wrote: > Hi Mark, > > From reading the createBeadSummaryData help page and the vignettes, I gather > that you recommend using BASH to detect outliers, and then using "mean" in > log2-space to summarize the data. > > If I plan to use vst/quantile to normalize my data, what would be the best > option for processing the bead level data? I like the idea of summarizing in > log2-space but I want a non-log-space result to use with vst. Is there a > simple way to accomplish this? > > And while I'm asking this, I seem to remember hearing that you get better > results without using the backgroundCorrect step. Is this recommended? > > Many thanks, > > Cei >
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Hi Mark, Thanks for your suggestions. I think I will be using the method="illumina" for now then. I've also decided to do vst + rsn, for the simple reason that after an vst/rsn normalization I can use the inverseVST function in the lumi package to get the real "un-logged" expression numbers back in case they're needed (for fold-change calculation, for example). Thanks again, Cei Mark Dunning wrote: > Hi Cei, > > You can summarize on the unlogged scale by using the option log=FALSE > in createBeadSummaryData. We're still looking into the best > combination of outlier removal to use with BASH, it could be that the > Illumina method for removing outliers by a 3 MAD cut-off is still > best. This is the default option in beadarray (option > method="Illumina"). > > One final thing, If you plan to use VST method you'll need to > calculate detection scores prior to running VST, this can be done by:- > > Detection(BSData) = calculateDetection(BSData) > > The type of background correction we don't recommend is the background > subtraction performed by BeadStudio that subtracts the negative > controls from each bead-type average on an array. This causes a huge > increase in variance and missing values if you try and do a > log-transformation. However, using the combination of VST and quantile > as you plan should take care of these problems. > > Hope this helps, > > Mark > > On Tue, May 19, 2009 at 2:25 PM, Cei Abreu-Goodger <cei at="" ebi.ac.uk=""> wrote: >> Hi Mark, >> >> From reading the createBeadSummaryData help page and the vignettes, I gather >> that you recommend using BASH to detect outliers, and then using "mean" in >> log2-space to summarize the data. >> >> If I plan to use vst/quantile to normalize my data, what would be the best >> option for processing the bead level data? I like the idea of summarizing in >> log2-space but I want a non-log-space result to use with vst. Is there a >> simple way to accomplish this? >> >> And while I'm asking this, I seem to remember hearing that you get better >> results without using the backgroundCorrect step. Is this recommended? >> >> Many thanks, >> >> Cei >>
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