compareSamples_barplot: Compare the different conditions across samples

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

Description

compareSamples_barplot

Usage

compareSamples_barplot(allData, controlName = "FS + FS", thPval = 0.05,
  res_stats = NULL)

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
res_stats	output of function computeStatistics, to consider only significant conditions. Default is NA.

Details

This function compare the distribution of the values measures for each condition across 2 or more samples. For each cell line/patient it tests if each experimental condition is more promising than in the compared cell line/patient and visualises with a barplot the conditions which are significantly different ordered from most to least promising (based on z-score)

Examples

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

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