context("Test csDEXdataSet generate")
tmp.dir = "./temp"
dir.create(tmp.dir, recursive=TRUE)
for (typ in c("count", "PSI")){
n.exons = 16
data = generate(exons=n.exons, conditions=20,
interacting=0, replicates=2, genes=2,
type=typ, data.dir=tmp.dir,
seed=NULL, dispersions=NULL)
# Exon factors are independent for this purpose
cdx = data$data
if(typ == "count"){
cdx = estimateSizeFactors(cdx)
cdx = estimatePrecisions(cdx)
}
results = testForDEU(cdx)
expr = exprData(cdx)
vars = apply(expr, 1, var)
num.sig = sum(results$pvalue < 0.05) / nrow(results)
message(sprintf("Number of cases p<0.05: %.4f", num.sig))
# Compute minimum p-value in relation to perceived variance
min.pvalue = aggregate(results$pvalue, by=list(featureID=results$featureID), FUN=min)
y = min.pvalue$x
x = vars[min.pvalue$featureID]
cr = cor(x, y, method="spearman")
message(sprintf("Correlation between variance and min. p-value: %.4f", cr))
}
unlink(tmp.dir, recursive = TRUE)
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