data(mix)
normalize(mix, "crmn", factor="type", ncomp=3)
#other methods
normalize(mix, "one")
normalize(mix, "avg")
normalize(mix, "nomis")
normalize(mix, "t1")
normalize(mix, "ri")
normalize(mix, "median")
normalize(mix, "totL2")
## can also do normalization with matrices
Y <- exprs(mix)
G <- model.matrix(~-1+mix$type)
isIS <- fData(mix)$tag == 'IS'
normalize(Y, "crmn", factor=G, ncomp=3, standards=isIS)
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