context("Functionality of computing the quantitative bifurcation and robustness")
test_that("compute_discrete_bifurcation computes correct quantitative bifurcation function", {
rg <- load_RG(system.file("examples", "rgs", "test_triple.rg", package = "BNRewiringRobustness"))
bn <- load_BN(system.file("examples", "motifs", "test_triple_and.bn", package = "BNRewiringRobustness"))
output_genes = c("G1", "G2")
rewiring_distance <- c(0, 2)
attractor_landscape_similarity <- c(1, 0.75)
expected_result <- list(discrete_bifurcation = data.frame(rewiring_distance, attractor_landscape_similarity),
parameter_count = 8)
expected_result_pbn <- list(discrete_bifurcation = data.frame(rewiring_distance, attractor_landscape_similarity),
parameter_count = 8, pbn = create_pbn_from_rg(rg))
actual_result_no_pbn <- compute_discrete_bifurcation(bn, rg, output_genes = output_genes,
semantics = "async", attractor_similarity = "activity", return_pbn = FALSE)
actual_filenames_pbn <- compute_discrete_bifurcation(system.file("examples", "motifs", "test_triple_and.bn", package = "BNRewiringRobustness"),
load_RG(system.file("examples", "rgs", "test_triple.rg", package = "BNRewiringRobustness")),
output_genes = output_genes,
semantics = "async", attractor_similarity = "activity", return_pbn = TRUE)
expect_equivalent(actual_result_no_pbn, expected_result)
expect_equivalent(actual_filenames_pbn, expected_result_pbn)
})
test_that("compute_rewiring_robustness computes correct rewiring robustness", {
rg <- load_RG(system.file("examples", "rgs", "test_triple.rg", package = "BNRewiringRobustness"))
bn <- load_BN(system.file("examples", "motifs", "test_triple_and.bn", package = "BNRewiringRobustness"))
output_genes = c("G1", "G2")
qdb <- compute_discrete_bifurcation(bn, rg, output_genes = output_genes,
semantics = "async", attractor_similarity = "activity", return_pbn = FALSE)
actual_robustness <- compute_rewiring_robustness(qdb, p_elementary = 0.1)
prior_prob_sum <- 0.43578162
psi_1 <- 0.43046721 / prior_prob_sum
psi_2 <- 0.00531441 / prior_prob_sum
expected_robustness <- psi_1 * 1 + psi_2 * 0.75
expect_equivalent(actual_robustness, expected_robustness)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.