View source: R/normalize-samples.r
meffil.normalize.samples | R Documentation |
Normalize a set of samples using their normalized quality control objects.
meffil.normalize.samples(
norm.objects,
pseudo = 100,
just.beta = T,
cpglist.remove = NULL,
remove.poor.signal = F,
dup.fun = function(x) median(x, na.rm = T),
max.bytes = 2^30 - 1,
gds.filename = NULL,
verbose = F,
...
)
norm.objects |
The list or sublist of |
pseudo |
Value to add to the denominator to make the methylation estimate more stable when calculating methylation levels (Default: 100). |
just.beta |
If |
cpglist.remove |
Optional list of CpGs to exclude from final output |
remove.poor.signal |
Set methylation values for poorly detected probes
to missing (Default: |
dup.fun |
Function to collapse duplicate probes (EPIC v2 has over 5000 duplicated probes). If NULL, then duplicates are not collapsed (Default: median). |
gds.filename |
If not |
verbose |
If |
... |
Arguments passed to |
If just.beta == TRUE
, the normalized matrix of
methylation levels between between 0 and 1
equal to methylated signal/(methylated + unmethylated signal + pseudo).
Otherwise, a list containing two matrices, the normalized methylated and unmethylated signals.
If gds.filename
is not NULL
, then the output is saved to the GDS file
rather than retained in memory and returned to the caller.
The library 'gdsfmt' must be installed in this case.
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