plotComplexRoc: Plot Complex ROC curve

In Rtpca: Thermal proximity co-aggregation with R

Description

Plots a ROC curve representing how well a given TPP dataset recovers annotated proteins complexes. The ROC curve is generated based on the supplied protein complex annotation specificity is assessed by comparing the given complex annotation to random permutations of that table, i.e. proteins randomly grouped together.

Usage

plotComplexRoc(tpcaObj, computeAUC = FALSE)

Arguments

tpcaObj	tpcaResult object
computeAUC	logical parameter indicating whether area under the ROC should be computed and indicated in the lower right corner of the plot

Value

ggplot object of a receiver operating curve (ROC)

Examples

rocTab = data.frame(
    TPR = c(0, 0.1, 0.2, 0.4, 0.5, 0.7, 0.9, 1),
    FPR = c(0, 0.05, 0.1, 0.2, 0.5, 0.7, 0.9, 1)
)

tpcaTest <- new(
    "tpcaResult",
    ComplexRocTable = rocTab)

plotComplexRoc(tpcaTest)

Rtpca documentation built on Nov. 8, 2020, 7:44 p.m.