Nothing
test_that('create.hic.table produces same result for sparse matrix and BEDPE inputs', {
library(testthat)
library(HiCcompare)
library(data.table)
# test default settings
data("HMEC.chr22")
data("NHEK.chr22")
chr22.table = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22')
h22 = as.data.table(HMEC.chr22)
n22 = as.data.table(NHEK.chr22)
bed1 = h22[, ':=' (chr1 = 'chr22', start1 = region1, end1 = region1 + 500000, chr2 = 'chr22', start2 = region2, end2 = region2 + 500000, IF1 = IF)]
bed1[, ':=' (region1 = NULL, region2 = NULL, IF = NULL)]
bed2 = n22[, ':=' (chr1 = 'chr22', start1 = region1, end1 = region1 + 500000, chr2 = 'chr22', start2 = region2, end2 = region2 + 500000, IF1 = IF)]
bed2[, ':=' (region1 = NULL, region2 = NULL, IF = NULL)]
tab = HiCcompare::create.hic.table(bed1, bed2)
expect_equal(chr22.table, tab)
# test include zero
tab.sparse.include.zero = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22', include.zeros = TRUE)
tab.bed.include.zero = HiCcompare::create.hic.table(bed1, bed2, include.zeros = TRUE)
expect_equal(tab.sparse.include.zero, tab.bed.include.zero)
# test scale
s.scale = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22', scale = FALSE)
b.scale = HiCcompare::create.hic.table(bed1, bed2, scale = FALSE)
expect_equal(s.scale, b.scale)
# test subset.dist
s.subset.dist = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22', subset.dist = 100)
b.subset.dist = HiCcompare::create.hic.table(bed1, bed2, subset.dist = 100)
expect_equal(s.subset.dist, b.subset.dist)
# test subset.index
s.subset.index = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22', subset.index = c(1, 50, 1, 50))
b.subset.index = HiCcompare::create.hic.table(bed1, bed2, subset.index = c(1, 50, 1, 50))
expect_equal(s.subset.dist, b.subset.dist)
})
test_that('subsetting works', {
library(HiCcompare)
library(testthat)
q = matrix(1:100, 10, 10)
colnames(q) = 1:10
w = HiCcompare::full2sparse(q)
tab = HiCcompare::create.hic.table(w, w, chr = 'test')
s.dist = HiCcompare::create.hic.table(w, w, chr = 'test', subset.dist = 5)
# e = sparse2full(s.dist[, c(2,5,7), with=F])
expect_equal(max(s.dist$D), 5)
s.index = HiCcompare::create.hic.table(w, w, chr = 'test', subset.index = c(1,5, 1,5))
e = HiCcompare::sparse2full(s.index[, c(2,5,7), with=F])
r = q %>% HiCcompare::full2sparse(.) %>% HiCcompare::sparse2full(.)
expect_identical(e, r[1:5, 1:5])
s.index2 = HiCcompare::create.hic.table(w, w, chr='test', subset.index = c(5, 9, 5, 9))
y = HiCcompare::sparse2full(s.index2[, c(2,5,7), with=F])
expect_identical(y, r[5:9, 5:9])
})
test_that('Input errors are correct', {
library(HiCcompare)
library(testthat)
data("HMEC.chr22")
data("nhek.IS")
expect_error(HiCcompare::create.hic.table(HMEC.chr22, nhek.IS, chr = 'chr22'), "Make sure the classes of the sparse matrices match")
expect_error(HiCcompare::create.hic.table(nhek.IS, HMEC.chr22, chr = 'chr22'), "Make sure the classes of the sparse matrices match")
data("NHEK.chr22")
chr22.table = HiCcompare::create.hic.table(HMEC.chr22, NHEK.chr22, chr = 'chr22')
NHEK.chr22_BEDPE <- chr22.table[, c(1:6, 8), with=FALSE]
expect_error(HiCcompare::create.hic.table(NHEK.chr22_BEDPE, HMEC.chr22, chr='chr22'), "Enter both sparse matrices in the same format; either 7 column BEDPE or 3 column sparse upper triangular matrix")
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.