test_loadKEGGPathways <- function() {
x=loadKEGGPathways()
checkIdentical(names(x$kpg), names(x$kpn))
}
test_bilevelAnalysisGeneset <- function() {
dataSets=c("GSE17054")
data(list=dataSets, package="BLMA")
dataList <- list()
groupList <- list()
for (i in 1:length(dataSets)) {
dataset=dataSets[i]
group <- get(paste("group_",dataset,sep=""))
data=get(paste("data_",dataset,sep=""))
dataList[[i]] = data
groupList[[i]] = group
}
names(dataList)=names(groupList)=dataSets
# load KEGG pathways and create gene sets
x=loadKEGGPathways()
gslist=lapply(x$kpg,FUN=function(y){return (nodes(y));})
gs.names=x$kpn[names(gslist)]
ORAComb=bilevelAnalysisGeneset(gslist = gslist, gs.names = gs.names,
dataList = dataList, groupList = groupList, enrichment = "ORA")
GSAComb=bilevelAnalysisGeneset(gslist = gslist, gs.names = gs.names,
dataList = dataList, groupList = groupList, enrichment = "GSA",
mc.cores=1, nperms=200, random.seed = 1)
PADOGComb=bilevelAnalysisGeneset(gslist = gslist, gs.names = gs.names,
dataList = dataList, groupList = groupList, enrichment = "PADOG",
mc.cores=1, NI=200)
checkEqualsNumeric(dim(ORAComb),dim(GSAComb))
checkEqualsNumeric(dim(ORAComb),dim(PADOGComb))
}
test_bilevelAnalysisPathway <- function() {
dataSets=c("GSE17054")
data(list=dataSets, package="BLMA")
dataList <- list()
groupList <- list()
for (i in 1:length(dataSets)) {
dataset=dataSets[i]
group <- get(paste("group_",dataset,sep=""))
data=get(paste("data_",dataset,sep=""))
dataList[[i]] = data
groupList[[i]] = group
}
names(dataList)=names(groupList)=dataSets
x=loadKEGGPathways()
IAComb=bilevelAnalysisPathway(kpg = x$kpg, kpn = x$kpn, dataList = dataList,
groupList = groupList, mc.cores = 1)
checkTrue(setequal(rownames(IAComb),names(x$kpg)))
}
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