reduce | R Documentation |
Extract functional normalized data according to filter data
reduce( GRset, RGset, what = c("beta", "M"), cutp = 0.01, cutsamples = 0.95, cutcpgs = 0.95, verbose = TRUE, ... )
GRset |
'GenomicRatioSet' output from functional normalization |
RGset |
'RGset' output from filtering |
what |
return type either M- or beta-values |
cutp |
detection p-value threshold |
cutsamples |
threshold removing samples |
cutcpgs |
threshold removing probes |
verbose |
Default is TRUE |
... |
optional arguments getBeta |
Since functional normalization doesn't accept NA e.g. after probe filter the normalized 'GenomicRatioSet' and filtered 'RGChannelSet' need to be merged. Additionally if M-values are calculated we set -/+Inf values to +/-16 more details
matrix with M- or beta-values
mvaniterson
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