quantileNormalisation: Step 8: Apply Beta-Mixture Quantile normalisation, producing...

Description Usage Arguments Value

Description

This probably isn't something you want to run directly. Just use the runPipeline() function.

Usage

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quantileNormalisation(begin, mset_file, logfile, BMIQ_dir, outdir, threads,
  col.name = NULL, mset.lumi = NULL, meth.B = NULL)

Arguments

begin

Step the pipeline begins at

mset_file

Path to file in which dataset object is stored between steps (auto-filled by runPipeline() function)

logfile

Path to log file (auto-filled by runPipeline() function)

BMIQ_dir

Path to a directory where BMIQ normalised data can be written to files (auto-filled by runPipeline() function)

outdir

Path to output directory

threads

Number of threads to run certain tasks in parallel

col.name

List of column names, generated by setColumnNames() (auto-filled by runPipeline() function)

mset.lumi

Microarray dataset object (auto-filled by runPipeline() function)

meth.B

Object containing normalised data, made during Step 7. (auto-filled by runPipeline() function)

Value

list - mset.lumi dataset, BMIQ-normalised data object (B values), BMIQ-normalised data object (M-values)


NeilPearson-Lilly/MethyLiution documentation built on May 21, 2019, 11:29 a.m.