source("test/common.R")
bottomly.eset <- load_bottomly()
gene_names <- load_bottomly_gene_names(bottomly.eset)
counts <- exprs(bottomly.eset)
strain <- phenoData(bottomly.eset)$strain
experiment.number <- factor( phenoData(bottomly.eset)$experiment.number )
design <- model.matrix(~ strain + experiment.number)
y <- varistran::vst(counts, design=design)
print(varistran::vst_advice(y))
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