jg.applyNormalisation {Brundle}R Documentation

jg.applyNormalisation

Description

Takes the experimental peakset and applies the calculated coefficient and correction factor.

Usage

jg.applyNormalisation(jg.experimentPeakset, jg.coefficient,
  jg.correctionFactor, jg.treatedNames)

Arguments

jg.experimentPeakset

is the peakset extracted from the Diffbind object

jg.coefficient

is the coefficient calculated by jg.getNormalizationCoefficient

jg.correctionFactor

is the correction factor calculated by jg.getCorrectionFactor

jg.treatedNames

is the names of the treated samples

Examples

data(jg.experimentPeakset, package="Brundle")
jg.experimentPeaksetNormalised<-jg.applyNormalisation(jg.experimentPeakset,
                                                       1.267618,
                                                       0.6616886,
                                                       c("1b", "2b", "3b"))


[Package Brundle version 1.0.9 Index]