User: ckeeling

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Comment: C: limma: model/contrast matrix for 2x3 factorial design
... Thanks Gordon for your prompt response!  So, something like this? design = cbind(WildType.CTRL = c(1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0), WildType.Treat = c(0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0), MutantA.CTRL = c(0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0), MutantA.Treat ...
written 3.6 years ago by ckeeling0
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limma: model/contrast matrix for 2x3 factorial design
... I want to analyze single-colour Agilent microarrays.  I have two Treatment groups (Treat & CTRL) and three Genotypes (WildType, MutantA, & MutantB), and each Treatment/Genotype combination has 4 replicates. i.e. Genotype <- factor(rep(c("WildType","MutantA","MutantB"),each=8),levels=c( ...
limma design and contrast matrix limma design matrix multifactorial design limma contrast matrix written 3.6 years ago by ckeeling0 • updated 3.6 years ago by Gordon Smyth39k

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Popular Question 3.6 years ago, created a question with more than 1,000 views. For limma: model/contrast matrix for 2x3 factorial design

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