CQN Package
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Xin Davis ▴ 30
@xin-davis-5278
Last seen 9.7 years ago
Dear All, I try to use CQN package to normalize RNAseq data for modeling, but could not find CQN vignette at Bioconductor website. The example from the manual is not clear to me (shown below). I should be able to run the code by replacing montgomery.subset with our dataset, but it is not the case. I assume montgomery.subset is the data set, what is sizeFactors.subset ? Other pacakge (DESeq, edgeR) will calculate sizeFactors. How about uCovar ? I Should provide dataset, the package will calculate whatever required by the package. The explanations are not clear to me. I would appreciate it if anyone provide guidance on this. Thanks, Xin Davis data(montgomery.subset) data(sizeFactors.subset) data(uCovar) cqn.subset <- cqn(montgomery.subset, lengths = uCovar$length, x = uCovar$gccontent, sizeFactors = sizeFactors.subset, verbose = TRUE) [[alternative HTML version deleted]]
RNASeq cqn RNASeq cqn • 1.3k views
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@kasper-daniel-hansen-2979
Last seen 10 months ago
United States
On Mon, Jun 25, 2012 at 9:46 AM, Xin Davis <xydavis at="" ncsu.edu=""> wrote: > Dear All, > > I try to use CQN package to normalize RNAseq data for modeling, but > could not find CQN vignette at Bioconductor website. > > The example from the manual is not clear to me (shown below). I should be > able to run the code by replacing montgomery.subset with our dataset, but > it is not the case. > > I assume montgomery.subset is the data set, what is sizeFactors.subset ? > Other pacakge (DESeq, edgeR) will calculate sizeFactors. How about uCovar ? > I Should provide dataset, the package will calculate whatever required by > the package. The explanations are not clear to me. There are many suggested ways to estimate sizeFactors. You have the option of inputting whatever you want. The default will use colSums(data) You need to give the function information about the gc content and the gene lengths. uCovar in the vignette is a matrix with 2 columns (gc content and gene length). What these values are, depend entirely on how you got your count matrix. The uCovar in the package fits together with how the data in the package was computed from the aligned reads, but of course it will most likely not fit with your data. If you want to, you can inspect these objects yourself by loading the package. Kasper > > I would appreciate it if anyone provide guidance on this. > > Thanks, > Xin Davis > > > > > data(montgomery.subset) > data(sizeFactors.subset) > data(uCovar) > cqn.subset <- cqn(montgomery.subset, lengths = uCovar$length, > x = uCovar$gccontent, sizeFactors = sizeFactors.subset, verbose = TRUE) > > ? ? ? ?[[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
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