R/utilities.R
normalize.loess.Rd
loess normalization
normalize.loess( mat, subset = sample(seq.int(nrow(mat)), min(c(5000, nrow(mat)))), span = 2/3, family.loess = "symmetric" )
a matrix with columns containing the values of the chips to normalize.
a subset of the data to fit a loess to.
parameter to be passed the function loess.
the mean matrix to be subtracted.