Nothing
test_that("binOverFeature works not correct", {
##algorithm
annotationData <- GRanges("X", IRanges(50, 50, name="X"),
strand="+")
peaks <- GRanges("X", IRanges(1:100, width=1), strand="+",
score=rep(1, 100))
bin <- binOverFeature(peaks, annotationData=annotationData,
radius=50L, nbins=50L, minGeneLen=1L)
expect_true(bin[1,1]==0)
expect_equal(sum(bin[,1]), 99)
peaks <- GRanges("X", IRanges(1:100, width=2), strand="+",
score=rep(1, 100))
bin <- binOverFeature(peaks, annotationData=annotationData,
radius=50L, nbins=50L, minGeneLen=1L)
expect_true(bin[1,1]==0)
expect_true(bin[2,1]==1)
expect_equal(sum(bin[,1]), 197)
peaks <- GRanges("X", IRanges(1:50, 99:50), strand="+", score=rep(1, 50))
bin <- binOverFeature(peaks, annotationData=annotationData,
radius=50L, nbins=50L, minGeneLen=1L)
expect_equal(sum(bin[,1]), sum(1:49)+sum(1:50))
## by simulation data
annoGR <- annoGR(EnsDb.Hsapiens.v79)
peaks <- as(annoGR, "GRanges")
st <- as.character(strand(peaks))=="+"
start(peaks)[st] <- start(peaks)[st]-100
end(peaks)[st] <- start(peaks)[st]
end(peaks)[!st] <- end(peaks)[!st]+100
start(peaks)[!st] <- end(peaks)[!st]
peaks$score <- 1
bin <- binOverFeature(peaks, annotationData=annoGR,
radius=500L, nbins=50L, minGeneLen=1L)
expect_true(rownames(bin)[which(bin[,1]==max(bin[,1]))]=="-95")
})
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