Using Bioconductor To Analyse Microarray Data: Difference between revisions

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colnames(design) <- c("resistant","sensitive")  # give names to the treatment groups
colnames(design) <- c("resistant","sensitive")  # give names to the treatment groups
design  #check the design matrix
design  #check the design matrix
fit <- lmFit(eset,design)
fit.eb <- eBayes(fit)
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