lmFit() with ExpressionSet
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@gordon-smyth
Last seen 4 hours ago
WEHI, Melbourne, Australia
As James says, the statistical results are identical, but there's a possible difference in the annotation. An ExpressionSet can contain probe annotation as well as expression values. If it does, and you use fit <- lmFit(esetRMA, design) fit <- eBayes(fit) topTable(fit) then limma will find the probe annotation and present it to you in the top-table. On the other hand, fit <- lmFit(exprs(esetRMA), design) throws away any probe annotation, except for the row names of the expression matrix. In the code pipeline in Atul's original email, there was no probe annotation in the ExpressionSet, hence nothing was lost. Another subtlety is that when you pass a matrix to lmFit(), it then has to try to guess whether the matrix contains log-ratios (from a two color array) or log-expression values (from a single channel array). It is better to pass the full object so that no guessing is necessary. Best wishes Gordon > Date: Sat, 06 Apr 2013 13:47:39 -0400 > From: "James W. MacDonald" <jmacdon at="" uw.edu=""> > To: Atul Kakrana <atulkakrana at="" outlook.com=""> > Cc: Atul Kakrana <atulkakrana at="" gmail.com="">, "bioconductor at r-project.org" > <bioconductor at="" r-project.org=""> > Subject: Re: [BioC] Problem with Limma - Possible Limma/affy bug - > minimal code not working - Solved - Minor doubt > > Hi Atul, > > On 4/5/2013 7:08 PM, Atul Kakrana wrote: >> What is the difference in using >> fit<- lmFit(exprs(esetRMA), design) >> >> OR >> fit<- lmFit(esetRMA, design) >> >> Does this effect result in any possible way? > > No. From ?lmFit: > > |object| > > object of class |numeric|, |matrix|, |MAList|, |EList|, |marrayNorm|, > |ExpressionSet| or |PLMset| containing log-ratios or log-values of > expression for a series of microarrays > > In the first case you are feeding lmFit a matrix, in the second an > ExpressionSet. Internally lmFit will then do exprs(esetRMA) to get the > data, so the results will be identical. > > Best, > > Jim ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}
Annotation probe limma Annotation probe limma • 1.3k views
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