What does this mean in Limma?
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@cittaro-davide-5375
Last seen 10.2 years ago
Hi all, I'm performing an analyis in limma with 3 groups. Normally I would set up a simple analysis with 3 contrasts: groups <- factor(c(A,A,A,B,B,B,C,C,C)) design <- model.matrix(~0+group) contrasts <- makeContrasts(B-A, C-A, C-B, levels=design) fit <- lmFit(y, design) fit2<-eBayes(contrasts.fit(fit, contrasts)) Because of an error, I've didn't set the matrix and performed fit3<-eBayes(fit) In which way I should interpret the results in fit3 (which, by the way, are really interesting)? Thanks d
limma limma • 1.6k views
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@gordon-smyth
Last seen 1 hour ago
WEHI, Melbourne, Australia

Dear Davide,

The short answer is that you shouldn't be interpreting the fit3 results because they are probably not want you want.

You have fitted a linear model in which there is no intercept, but instead three coefficients representing the means of the three groups. If you simply display the results of topTable(fit3), then limma will test whether any of the coefficients are equal to zero. This will select genes that have mean log-intensities in any group greater than zero. So you are simply getting a list of highly expressed genes, not genes that are differently expressed between your groups.

Best wishes
Gordon

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On Feb 3, 2013, at 12:57 AM, Gordon K Smyth <smyth at="" wehi.edu.au=""> wrote: > Dear Davide, > > The short answer is that you shouldn't be interpreting the fit3 results > because they are probably not want you want. > > You have fitted a linear model in which there is no intercept, but instead > three coefficients representing the means of the three groups. If you > simply display the results of topTable(fit3), then limma will test whether > any of the coefficients are equal to zero. This will select genes that > have mean log-intensities in any group greater than zero. So you are > simply getting a list of highly expressed genes, not genes that are > differently expressed between your groups. > Thanks, that's much clearer now d > Best wishes > Gordon > > >> Date: Fri, 1 Feb 2013 22:12:35 +0100 >> From: Davide Cittaro <cittaro.davide at="" hsr.it=""> >> To: "bioconductor at r-project.org" <bioconductor at="" r-project.org=""> >> Subject: [BioC] What does this mean in Limma? >> >> Hi all, > >> I'm performing an analyis in limma with 3 groups. Normally I would set >> up a simple analysis with 3 contrasts: >> >> groups <- factor(c(A,A,A,B,B,B,C,C,C)) >> design <- model.matrix(~0+group) >> contrasts <- makeContrasts(B-A, C-A, C-B, levels=design) >> fit <- lmFit(y, design) >> fit2<-eBayes(contrasts.fit(fit, contrasts)) >> >> Because of an error, I've didn't set the matrix and performed >> >> fit3<-eBayes(fit) >> >> In which way I should interpret the results in fit3 (which, by the way, >> are really interesting)? >> >> Thanks >> >> d >> > > ______________________________________________________________________ > The information in this email is confidential and intended solely for the addressee. > You must not disclose, forward, print or use it without the permission of the sender. > ______________________________________________________________________ /* Davide Cittaro, PhD Coordinator of Bioinformatics Core Center for Translational Genomics and Bioinformatics Ospedale San Raffaele Via Olgettina 58 20132 Milano Italy Office: +39 02 26439140 Mail: cittaro.davide at hsr.it Skype: daweonline */
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