get_plotMutInteract {ProgModule} | R Documentation |
Exact tests to detect mutually exclusive, co-occuring and altered genesets or pathways.
Description
Performs Pair-wise Fisher's Exact test to detect mutually exclusive or co-occuring events.
Usage
get_plotMutInteract(
module = NULL,
genes = NULL,
freq_matrix,
pvalue = c(0.05, 0.01),
returnAll = TRUE,
fontSize = 0.8,
showSigSymbols = TRUE,
showCounts = FALSE,
countStats = "all",
countType = "all",
countsFontSize = 0.8,
countsFontColor = "black",
colPal = "BrBG",
nShiftSymbols = 5,
sigSymbolsSize = 2,
sigSymbolsFontSize = 0.9,
pvSymbols = c(46, 42),
limitColorBreaks = TRUE
)
Arguments
module |
The gene module,generated by 'get_final_candidate_module'. |
genes |
The modular gene,generated by 'get_final_candidate_module'. |
freq_matrix |
The mutations matrix,generated by 'get_mut_status'. |
pvalue , returnAll , fontSize , showSigSymbols , showCounts , countStats , countType , countsFontSize , countsFontColor , colPal , nShiftSymbols , sigSymbolsSize , sigSymbolsFontSize , pvSymbols , limitColorBreaks |
see |
Value
No return value
Examples
#load the data.
data(plotMutInteract_moduledata,plotMutInteract_mutdata)
#draw an plotMutInteract of genes
get_plotMutInteract(genes=unique(unlist(plotMutInteract_moduledata)),
freq_matrix=plotMutInteract_mutdata)
#draw an plotMutInteract of modules
get_plotMutInteract(module=plotMutInteract_moduledata,
freq_matrix=plotMutInteract_mutdata)
[Package ProgModule version 0.1.0 Index]