KCsmart (version 2.30.0)

plotScaleSpace: Plot multiple significant regions in one figure

Description

Plots significant regions in different scale spaces in one figure

Usage

plotScaleSpace(spms, sigLevels, chromosomes=NULL, type='b')

Arguments

spms

List of sample point matrices

sigLevels

List of significance levels

chromosomes

Takes a vector of chromosomes to be plotted. Defaults to all chromosomes.

type

Determines which data is plotted. 'g' for gains only, 'l' for losses only and 'b' for both. When type='b' is used, two devices (x11) will be opened.

Value

Depending on the 'type' parameter, produces one or two plots, one for the gains and one for the losses. The heatmap color indicates the level of the gain or loss.

Details

Takes sample point matrices that were calculated using (different) kernel widths (sigma), then calculates the significant regions given the cutoffs as defined by 'sigLevels' and plots these in one figure.

See Also

plot

Examples

data(hsSampleData)
data(hsMirrorLocs)

spm1mb <- calcSpm(hsSampleData, hsMirrorLocs)
spm4mb <- calcSpm(hsSampleData, hsMirrorLocs, sigma=4000000)

siglevel1mb <- findSigLevelTrad(hsSampleData, spm1mb, n=3)
siglevel4mb <- findSigLevelTrad(hsSampleData, spm4mb, n=3)

plotScaleSpace(list(spm1mb, spm4mb), list(siglevel1mb, siglevel4mb), type='g')

Run the code above in your browser using DataCamp Workspace