rankPerOut: Rank markers by the percentage of outlying events

In Huang-lab/oppti: Outlier Protein and Phosphosite Target Identifier

Rank markers by the percentage of outlying events

Description

Ranks markers in the order of decreasing percentage of outlying events.

Usage

rankPerOut(dat.dys, marker.proc.list = NULL, dys.sig.thr.upp)

Arguments

dat.dys	samples' distances to regression line (i.e., dysregulation) on the scatter plots.
marker.proc.list	character array, the row names of the data to be processed for outlier analyses.
dys.sig.thr.upp	the dysregulation score threshold to elucidate/mark significantly dysregulated outlier events.

Value

markers rank-ordered by the percentage of outliers over the samples.

the percentages of outliers corresponding to ranked markers.

Examples

set.seed(1)
dat = setNames(as.data.frame(matrix(runif(10*10),10,10),
row.names = paste('marker',1:10,sep='')), paste('sample',1:10,sep=''))
dat.imp = artImpute(dat, ku=6)
dat.dys = dysReg(dat, dat.imp)[[1]]
result = rankPerOut(dat.dys, dys.sig.thr.upp = .25)

Huang-lab/oppti documentation built on March 26, 2023, 12:52 p.m.