DiffLogo (version 1.2.1)

differenceOfICs: normalized information content differences

Description

information content differences normalized by the sum of absolute information content differences for the given pair of probability vectors

Usage

differenceOfICs(p1, p2)

Arguments

p1

probability vector representing the first symbol distribution

p2

probability vector representing the second symbol distribution

Value

a vector with one result for each symbol

Examples

motif_folder= "extdata/pwm"
motif_names = c("HepG2","MCF7","HUVEC","ProgFib")
motifs = list()
for (name in motif_names) {
  fileName = paste(motif_folder,"/",name,".txt",sep="")
  file = system.file(fileName, package = "DiffLogo")
  motifs[[name]] = as.matrix(read.delim(file,header=FALSE))
}

pwm1 = motifs[[motif_names[[1]]]]
pwm2 = motifs[[motif_names[[2]]]]

diffLogoFromPwm(pwm1 = pwm1, pwm2 = pwm2, baseDistribution = differenceOfICs)