View source: R/NormalizeBeta.R
normalize.loess | R Documentation |
Loess normalization method.
normalize.loess(
mat,
subset = sample(1:(dim(mat)[1]), min(c(5000, nrow(mat)))),
epsilon = 10^-2,
maxit = 1,
log.it = FALSE,
verbose = TRUE,
span = 2/3,
family.loess = "symmetric",
...
)
mat |
A matrix with columns containing the values of the chips to normalize. |
subset |
A subset of the data to fit a loess to. |
epsilon |
A tolerance value (supposed to be a small value - used as a stopping criterion). |
maxit |
Maximum number of iterations. |
log.it |
Logical. If |
verbose |
Logical. If |
span |
Parameter to be passed the function |
family.loess |
Parameter to be passed the function |
... |
Any of the options of normalize.loess you would like to modify (described above). |
A matrix similar as mat
.
Wubing Zhang
loess
NormalizeBeta
file3 = file.path(system.file("extdata", package = "MAGeCKFlute"),
"testdata/mle.gene_summary.txt")
dd = ReadBeta(file3)
beta_loess = normalize.loess(dd[,-1])
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