library(ImmuneSubtypeClassifier)
load('~/xena_test_data.rda')
idx <- sample(x=1:8500, size = 1000, replace = F)
xenasm <- xena2[,idx]
repsm <- rep2[idx,]
rm(xena2, rep2)
gc()
xcalls <- callEnsemble(X=xenasm, geneids = 'ensembl')
xperfs <- subtypePerf(xcalls, Ytest = repsm$ClusterModel1)
xtable1 <- table(T=repsm$ClusterModel1, Xena=xcalls$BestCall)
save(xcalls, xperf, xtable1, file='xenasm_results.rda')
library(ggplot2)
library(gridExtra)
x <- grid.arrange(xperfs[[1]]$plot,xperfs[[2]]$plot,xperfs[[3]]$plot,xperfs[[4]]$plot,xperfs[[5]]$plot,xperfs[[6]]$plot, ncol=6, nrow=1 )
plot(x)
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