plotCoocMutex: plotCoocMutex

Description Usage Arguments References Examples

View source: R/visualization.R

Description

Function 'plotCoocMutex' plots the co-occurrence and mutual exclusivity plots for mutation genes which drive immune cells.

Usage

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plotCoocMutex(maffile, mutcell.summary, cellnumcuoff = 3, fontSize = 0.8)

Arguments

maffile

The name of mutation annotation file (MAF) format data. It must be an absolute path or the name relatived to the current working directory.

mutcell.summary

The result of 'mutcellsummary' function

cellnumcuoff

A threshold value (4 as the default value). The mutation genes which drive at least "cellnumcuoff" cells are retained for drawing a co-occurrence and mutual exclusivity plots.

fontSize

cex for gene names. Default 0.8

References

Gerstung M, Pellagatti A, Malcovati L, et al. Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. Nature Communications. 2015;6:5901. doi:10.1038/ncomms6901.

Examples

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# get the result of `exp2cell` funtion
cellmatrix<-GetExampleData("cellmatrix")

#get the binary mutations matrix,
mutmatrix<-GetExampleData("mutmatrix")

# get the result of `mutcorcell` funtion
mutcell<-GetExampleData("mutcell")

#perform the function mutcellsummary
summary<-mutcellsummary(mutcell = mutcell,mutmatrix = mutmatrix,cellmatrix=cellmatrix)

#dir is the name of mutation annotation file (MAF) format data.
#It must be an absolute path or the name relatived to the current working directory.
maf<-"dir"
#plot the co-occurrence and mutual exclusivity plots for mutation genes which drive immune cells.
plotCoocMutex(maffile = maf,mutcell.summary = summary,cellnumcuoff =0)

SMDIC documentation built on Nov. 13, 2020, 5:06 p.m.