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sigCheckRandom
and sigCheckKnown
using the
breastCancerNKI
dataset.
sigCheckRandom
and sigCheckKnown
.
It is used by the vignette accompanying the
SigCheck
package as an example result. It was derived by
running the code in the example below.
It loads to object, slassifyRandom
and classifyKnown
.
data(classifyResults)
## Not run:
# # This is how classifyResults is built
# library(breastCancerNKI)
# data(nki)
# nki = nki[,!is.na(nki$e.dmfs)]
# data(knownSignatures)
# check <- sigCheck(nki, classes="e.dmfs",
# signature=knownSignatures$cancer$VANTVEER,
# annotation="HUGO.gene.symbol",
# validationSamples=101:ncol(nki),
# scoreMethod="classifier")
#
# classifyRandom <- sigCheckRandom(check, iterations=1000)
# classifyKnown <- sigCheckKnown(check)
# ## End(Not run)
# Example usage of classifyResults
data(classifyResults)
par(mfrow=c(1,2))
sigCheckPlot(classifyRandom, classifier=TRUE)
sigCheckPlot(classifyKnown, classifier=TRUE)
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