compareSamples_volcanoplot: Compare the different conditions across samples

In saezlab/BraDiPluS: BraDiPluS - Braille Display Plugs Data Analysis

Description

compareSamples_volcanoplot

Usage

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

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

saezlab/BraDiPluS documentation built on May 29, 2019, 12:56 p.m.