jg.applyNormalisation: jg.applyNormalisation
In Brundle: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data

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

1 2	jg.applyNormalisation(jg.experimentPeakset, jg.coefficient, jg.correctionFactor, jg.treatedNames)

`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

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