compareSamples_volcanoplot: Compare the different conditions across samples

Description Usage Arguments Details Examples

View source: R/compareSamples_volcanoplot.R

Description

compareSamples_volcanoplot

Usage

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compareSamples_volcanoplot(allData, controlName = "FS + FS", thPval = 0.1,
  thEffectSize = 0.3)

Arguments

allData

list with one element for each patient sample/cell line, there must be at least 2 runs (i.e. full cycle) for each sample

controlName

name of the control sample, default is "FS+FS"

thPval

threshold on the p-value to be considered significant

thEffectSize

threshold on the effect size

Details

This function compare the distribution of the values measures for each condition across 2 or more samples computing p-values and effect size using parametric or non parametric tests. The comparison is visualised with a volcano plot showing the effect size vs the -log p-val

Examples

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data("allData", package="BraDiPluS")
allData<-allData[c(1,2)]
res<-compareSamples(allData, controlName="FS + FS")

saezlab/BraDiPluS documentation built on May 20, 2018, 4:42 a.m.