#----Load data------------------------------------------------------------------
set.seed(1)
data(og.zma.osa)
data(zma.se)
data(osa.se)
og <- og.zma.osa
explist <- list(osa = osa.se, zma = zma.se)
explist <- lapply(
explist, exp_preprocess, Zk_filtering = FALSE,
variance_filter = TRUE, n = 200
)
exp_ortho <- exp_genes2orthogroups(explist, og, summarize = "mean")
powers <- c(12, 7)
gcn_osa <- exp2gcn(
exp_ortho$osa, net_type = "signed hybrid", SFTpower = powers[1],
cor_method = "pearson"
)
gcn_zma <- exp2gcn(
exp_ortho$zma, net_type = "signed hybrid", SFTpower = powers[2],
cor_method = "pearson"
)
#----Start tests----
test_that("parse_orthofinder() parses OrthoFinder's orthogroups", {
path <- system.file("extdata", "Orthogroups.tsv", package = "BioNERO",
mustWork = TRUE)
og <- parse_orthofinder(path)
expect_equal(ncol(og), 3)
})
test_that("exp_genes2orthogroups() replaces genes with orthogroups", {
exp_ortho <- exp_genes2orthogroups(explist, og, summarize = "mean")
expect_equal(length(exp_ortho), 2)
expect_equal(class(exp_ortho), "list")
expect_true(startsWith(rownames(exp_ortho[[1]])[1], "ORTH"))
})
test_that("modPres_WGCNA() calculates module preservation", {
explist <- exp_ortho
ref_net <- gcn_osa
pres_wgcna <- modPres_WGCNA(explist, ref_net, nPerm = 2)
expect_true("patchwork" %in% class(pres_wgcna))
expect_true("ggplot" %in% class(pres_wgcna))
})
# PASSED on Feb 26, 2021.
# Commented because R CMD check was taking more than 10m.
# test_that("modPres_netrep() calculates module preservation", {
# explist <- exp_ortho
# ref_net <- gcn_osa
# test_net <- gcn_zma
# expect_message(pres_netrep <- modPres_netrep(explist, ref_net, test_net,
# nPerm=10, nThreads = 2),
# "None of the modules in osa were preserved in zma.")
# })
test_that("module_preservation() calculates module preservation", {
explist <- exp_ortho
names(explist) <- NULL
ref_net <- gcn_osa
test_net <- gcn_zma
pres <- suppressWarnings(
module_preservation(explist, ref_net, test_net, nPerm = 2)
)
pres_wgcna <- module_preservation(
explist, ref_net, nPerm = 2, algorithm = "WGCNA"
)
ref_net$params$cor_method <- "biweight"
pres_wgcna2 <- module_preservation(
explist, ref_net, nPerm = 2, algorithm = "WGCNA"
)
ref_net$params$cor_method <- "spearman"
pres_wgcna2 <- module_preservation(
explist, ref_net, nPerm = 2, algorithm = "WGCNA"
)
expect_equal(class(pres), "list")
expect_true("ggplot" %in% class(pres_wgcna))
expect_error(module_preservation(
explist, ref_net, nPerm = 2, algorithm = "wrong"
))
})
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