Limma, eBayes different sample size of groups and adjustment
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@babara-mueller-4615
Last seen 10.2 years ago
Dear BC list, I am using limma the first time. I have an unbalanced sample with 130 controls and 60 cases, should I correct for the different sizes? My idea is to take only 60 of my 130 controls. How u handle this problem? And is there a special method to correct/adjust my sample for example smoking status or weight? [[alternative HTML version deleted]]
limma limma • 1.7k views
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Paul Geeleher ★ 1.3k
@paul-geeleher-2679
Last seen 10.2 years ago
I don't think there is any need for there to be the same number of samples in each group. 130 Vs 60 should work just fine. Paul. On Wed, Apr 27, 2011 at 2:54 PM, Babara Mueller <babara.mueller07 at="" googlemail.com=""> wrote: > Dear BC list, > > I am using limma the first time. > I have an unbalanced sample with 130 controls and 60 cases, should I > correct for the different sizes? > My idea is to take only 60 of my 130 controls. How u handle this problem? > > And is there a special method to correct/adjust my sample for example > smoking status or weight? > > ? ? ? ?[[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 > -- Paul Geeleher (PhD Student) School of Mathematics, Statistics and Applied Mathematics National University of Ireland Galway Ireland -- www.bioinformaticstutorials.com
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Naomi Altman ★ 6.0k
@naomi-altman-380
Last seen 3.6 years ago
United States
You do not need to correct for the different sizes. The analysis self-corrects. Naomi Altman At 09:54 AM 4/27/2011, you wrote: >Dear BC list, > >I am using limma the first time. >I have an unbalanced sample with 130 controls and 60 cases, should I >correct for the different sizes? >My idea is to take only 60 of my 130 controls. How u handle this problem? > >And is there a special method to correct/adjust my sample for example >smoking status or weight? > > [[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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Could you explain more about how the analysis self-correct the different sample sizes when calling DEGs in limma? Thanks

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