reduce: Extract functional normalized data according to filter data

View source: R/filtering.R

reduceR Documentation

Extract functional normalized data according to filter data

Description

Extract functional normalized data according to filter data

Usage

reduce(
  GRset,
  RGset,
  what = c("beta", "M"),
  cutp = 0.01,
  cutsamples = 0.95,
  cutcpgs = 0.95,
  verbose = TRUE,
  ...
)

Arguments

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

Details

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

Value

matrix with M- or beta-values

Author(s)

mvaniterson


molepi/DNAmArray documentation built on Aug. 24, 2022, 1:42 p.m.