lossOfAbsICDifferences: the change of information content

In mgledi/DiffLogo: DiffLogo: A comparative visualisation of biooligomer motifs

Description

the change of information content for the given probability vectors

Usage

lossOfAbsICDifferences(p1, p2)

Arguments

p1	probability vector representing the first symbol distribution
p2	probability vector representing the second symbol distribution

Value

an object consisting of height and ylab

Author(s)

Martin Nettling

Examples

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

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

diffLogoFromPwm(pwm1 = pwm1, pwm2 = pwm2, stackHeight = lossOfAbsICDifferences)

mgledi/DiffLogo documentation built on June 7, 2020, 8:23 a.m.