jg.applyNormalisation: jg.applyNormalisation

In andrewholding/Brundle: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data

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"))

andrewholding/Brundle documentation built on May 10, 2019, 5:17 a.m.