top20.aupr <- netbenchmark(methods="all",datasources.names = "Toy",
local.noise=20,global.noise=10,
noiseType=c("normal","lognormal"),
datasets.num = 2,experiments = 40)
# Other possible studies
top20.fast.list <- netbenchmark()
top20.list <- netbenchmark(methods="all",eval="no.truepos")
top50.auroc.list <- netbenchmark(datasets.num=8,eval="AUROC",
no.topedges=50,global.noise=10)
top9.list <- netbenchmark(datasets.num=8,no.topedges=9,local.noise=15,
noiseType="lognormal")
#To export the tables to LaTeX
# library(xtable)
# xtable(top20.fast.list[[1]])
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