#----Load data------------------------------------------------------------------
data(pepper_se)
data(snp_pos)
data(gene_ranges)
data(mined_candidates)
data(guides)
data(mine2)
data(tfs)
data(gcn)
data(hubs)
# Get candidates
genes <- mine_step1(gene_ranges, snp_pos, window = 2)$ID
# Create expression with only candidates
set.seed(1)
#----Start tests----------------------------------------------------------------
test_that("handle_intervals() returns a GRanges object", {
sim_markers <- snp_pos + 50
h1 <- handle_intervals(snp_pos)
h2 <- handle_intervals(sim_markers, expand_intervals = FALSE)
expect_true("GRanges" %in% class(h1))
expect_true("GRanges" %in% class(h2))
})
test_that("mine_step1() returns a character vector of gene IDs", {
genes <- mine_step1(gene_ranges, snp_pos, window = 2)
snp_list <- GenomicRanges::GRangesList(
Trait1 = sample(snp_pos, 20),
Trait2 = sample(snp_pos, 20)
)
genes2 <- mine_step1(gene_ranges, snp_list)
expect_true(is(genes, "GRanges"))
expect_true(
"GRangesList" %in% class(genes2) |
"CompressedGRangesList" %in% class(genes2)
)
expect_error(mine_step1(gene_ranges, as.data.frame(snp_pos)))
})
test_that("mine_step2() returns a list with 2 elements", {
mine2 <- mine_step2(
pepper_se, gcn = gcn, guides = guides$Gene,
candidates = rownames(pepper_se)
)
expect_equal(class(mine2), "list")
expect_equal(names(mine2), c("candidates", "enrichment"))
expect_error(
mine_step2(
pepper_se, gcn = gcn, guides = guides$Gene[1:5],
candidates = rownames(pepper_se)
)
)
})
test_that("mine_step3() returns a data frame of mined candidates", {
mine3 <- mine_step3(
pepper_se, candidates = mine2$candidates,
sample_group = "PRR_stress"
)
expect_equal(class(mine3), "data.frame")
})
test_that("mine_candidates() returns a data frame", {
mc1 <- mine_candidates(
gene_ranges, snp_pos, exp = pepper_se, gcn = gcn,
guides = guides$Gene, sample_group = "PRR_stress"
)
expect_equal(class(mc1), "data.frame")
expect_equal(ncol(mc1), 5)
})
test_that("score_genes() returns a data frame", {
hc_genes <- mined_candidates
scored <- score_genes(hc_genes, hubs$Gene, tfs$Gene_ID)
# Artitficially add scored genes as hubs and TFs to test weighing
scored2 <- score_genes(
hc_genes,
c(hubs$Gene, "CA12g18400", "CA03g03310"),
c(tfs$Gene_ID, "CA03g03310", "CA10g02780")
)
scored3 <- score_genes(
hc_genes,
c(hubs$Gene, "CA12g18400", "CA03g03310"),
c(tfs$Gene_ID, "CA03g03310", "CA10g02780"),
pick_top = 2
)
expect_equal(class(scored), "data.frame")
expect_equal(class(scored2), "data.frame")
expect_equal(nrow(scored3), 2)
expect_error(
score_genes(hc_genes)
)
})
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