## Tests for functions related to data generation - Aug 2023 set.seed(123) gene_pool <- paste0("Gene", 1:100) toy_biogrid_pin <- data.frame(A = sample(gene_pool, 25), B = sample(gene_pool, 25)) colnames(toy_biogrid_pin) <- c("Official Symbol Interactor A", "Official Symbol Interactor B") test_that("`process_pin()` -- removes self-interactions and duplicated interactions", { input_pin_df <- toy_biogrid_pin colnames(input_pin_df) <- c("Interactor_A", "Interactor_B") input_pin_df <- rbind(input_pin_df, data.frame(Interactor_A = input_pin_df$Interactor_B[1:5], Interactor_B = input_pin_df$Interactor_A[1:5])) processed_df <- process_pin(input_pin_df) expect_true(nrow(processed_df) < nrow(input_pin_df)) }) test_that("`get_biogrid_pin()` -- returns a path to a valid PIN file", { mockery::stub(get_biogrid_pin, "utils::download.file", NULL) mockery::stub(get_biogrid_pin, "utils::unzip", list(Name = "BIOGRID-ORGANISM-Homo_sapiens-4.4.211.tab3.txt")) mockery::stub(get_biogrid_pin, "utils::read.delim", toy_biogrid_pin) expected_biogrid_pin_df <- toy_biogrid_pin colnames(expected_biogrid_pin_df) <- c("Interactor_A", "Interactor_B") expected_biogrid_pin_df <- process_pin(expected_biogrid_pin_df) expected_biogrid_pin_df <- data.frame(V1 = expected_biogrid_pin_df$Interactor_A, V2 = "pp", V3 = expected_biogrid_pin_df$Interactor_B) pin_path <- get_biogrid_pin(release = "4.4.211") pin_df <- read.delim(pin_path, header = FALSE) expect_true(ncol(pin_df) == 3) expect_true(all(pin_df[, 2] == "pp")) expect_identical(pin_df, expected_biogrid_pin_df) }) test_that("`get_biogrid_pin()` -- determines and downloads the latest version", { mockery::stub(get_biogrid_pin, "utils::download.file", NULL) mockery::stub(get_biogrid_pin, "utils::unzip", list(Name = "BIOGRID-ORGANISM-Homo_sapiens-X.X.X.tab3.txt")) mockery::stub(get_biogrid_pin, "utils::read.delim", toy_biogrid_pin) expected_biogrid_pin_df <- toy_biogrid_pin colnames(expected_biogrid_pin_df) <- c("Interactor_A", "Interactor_B") expected_biogrid_pin_df <- process_pin(expected_biogrid_pin_df) expected_biogrid_pin_df <- data.frame(V1 = expected_biogrid_pin_df$Interactor_A, V2 = "pp", V3 = expected_biogrid_pin_df$Interactor_B) pin_path <- get_biogrid_pin() pin_df <- read.delim(pin_path, header = FALSE) expect_true(ncol(pin_df) == 3) expect_true(all(pin_df[, 2] == "pp")) expect_identical(pin_df, expected_biogrid_pin_df) }) test_that("`get_biogrid_pin()` -- error check works", { # invalid organism error expect_error(get_biogrid_pin(org = "Hsapiens"), paste("Hsapiens is not a valid Biogrid organism.", "Available organisms are listed on: https://wiki.thebiogrid.org/doku.php/statistics")) }) test_that("`get_pin_file()` -- works as expected", { with_mocked_bindings({ pin_path <- get_pin_file() expect_identical(pin_path, "/path/to/some/PIN/file") }, get_biogrid_pin = function(...) "/path/to/some/PIN/file", .package = "pathfindR") expect_error(get_pin_file(source = "STRING"), "As of this version, this function is implemented to get data from BioGRID only") }) test_that("`gset_list_from_gmt()` -- works as expected", { gmt_list <- list(GSA = sample(gene_pool, 80), GSB = sample(gene_pool, 100), GSC = sample(gene_pool, 33)) description_vec <- c(GSA = "gene set A", GSB = "gene set B", GSC = "gene set C") gmt_df <- c() for (gset in names(gmt_list)) { tmp <- c(gset, description_vec[gset]) tmp <- c(tmp, gmt_list[[gset]], rep("", 100 - length(gmt_list[[gset]]))) gmt_df <- rbind(gmt_df, tmp) } path2gmt <- tempfile() write.table(gmt_df, path2gmt, sep = "\t", col.names = FALSE, row.names = FALSE, quote = FALSE) expect_is(res <- gset_list_from_gmt(path2gmt), "list") expect_identical(res$gene_sets, gmt_list) expect_identical(res$descriptions, description_vec) }) test_that("`get_kegg_gsets()` -- works as expected", { skip_on_cran() mock_responses <- c( httr::content(httr::GET(paste0("https://rest.kegg.jp/list/eco")), "text"), "eco00010\tdescription\neco00071\tdescription2" ) call_count <- 0 # function to manage sequential responses mock_content <- function(...) { call_count <<- call_count + 1 return(mock_responses[call_count]) } with_mock(`httr::content` = mock_content, { expect_is(toy_eco_kegg <- pathfindR:::get_kegg_gsets(), "list") }) expect_length(toy_eco_kegg, 2) expect_true(all(names(toy_eco_kegg) == c("gene_sets", "descriptions"))) expect_true(all(names(toy_eco_kegg[["gene_sets"]]) %in% names(toy_eco_kegg[["descriptions"]]))) expect_length(toy_eco_kegg[["gene_sets"]], 2) expect_length(toy_eco_kegg[["descriptions"]], 2) expect_true(toy_eco_kegg[["descriptions"]]["eco00010"] == "description") expect_true(toy_eco_kegg[["descriptions"]]["eco00071"] == "description2") expect_length(toy_eco_kegg[["gene_sets"]][["eco00010"]], 47) expect_length(toy_eco_kegg[["gene_sets"]][["eco00071"]], 15) }) test_that("`get_reactome_gsets()` -- works as expected", { skip_on_cran() pw1 <- "Pathway1" pw2 <- "Pathway2" desc1 <- "Description1" desc2 <- "Description2" genes1 <- c("GeneA", "GeneB") genes2 <- c("GeneC", "GeneD", "GeneE") gmt_content <- paste( c( paste(c(desc1, pw1, genes1), collapse = "\t"), paste(c(desc2, pw2, genes2), collapse = "\t") ), collapse = "\n" ) mockery::stub(get_reactome_gsets, "utils::download.file", NULL) unz_mock <- function(zipfile, filename, ...) { textConnection(gmt_content) } mockery::stub(get_reactome_gsets, "unz", unz_mock) expected_gsets <- list(genes1, genes2) names(expected_gsets) <- c(pw1, pw2) expect_descriptions <- c(desc1, desc2) names(expect_descriptions) <- c(pw1, pw2) expect_is(reactome <- get_reactome_gsets(), "list") expect_length(reactome, 2) expect_length(reactome$gene_sets, 2) expect_length(reactome$descriptions, 2) expect_equal(names(reactome$gene_sets), names(reactome$descriptions)) expect_equal(reactome$gene_sets, expected_gsets) expect_equal(reactome$descriptions, expect_descriptions) }) test_that("`get_mgsigdb_gsets()` -- works as expected", { toy_msigdb_df <- c() for (gs_idx in 1:5) { toy_msigdb_df <- rbind(toy_msigdb_df, data.frame(gene_symbol = sample(gene_pool, sample(25:75, 1)), gs_id = paste0("GS", gs_idx), gs_name = paste("Gene Set", gs_idx))) } mockery::stub(get_mgsigdb_gsets, "msigdbr::msigdbr", toy_msigdb_df) expect_is(res_msig_db <- get_mgsigdb_gsets(collection = "C1"), "list") expect_length(res_msig_db, 2) expect_true(all(names(res_msig_db) == c("gene_sets", "descriptions"))) expect_true(all(names(res_msig_db[["gene_sets"]] %in% names(res_msig_db[["descriptions"]])))) }) test_that("`get_mgsigdb_gsets()` -- error works", { all_collections <- c("H", "C1", "C2", "C3", "C4", "C5", "C6", "C7") expect_error(pathfindR:::get_mgsigdb_gsets(collection = "INVALID"), paste0("`collection` should be one of ", paste(dQuote(all_collections), collapse = ", "))) }) test_that("`get_gene_sets_list()` works", { expect_error(gsets <- get_gene_sets_list("Wiki"), "As of this version, this function is implemented to get data from KEGG, Reactome and MSigDB only") mockery::stub(get_gene_sets_list, "get_kegg_gsets", NULL) mockery::stub(get_gene_sets_list, "get_reactome_gsets", NULL) mockery::stub(get_gene_sets_list, "get_mgsigdb_gsets", NULL) expect_silent(kegg <- get_gene_sets_list(org_code = "vcn")) expect_message(rctm <- get_gene_sets_list("Reactome")) expect_silent(msig <- get_gene_sets_list("MSigDB", species = "Mus musculus", collection = "C3", subcollection = "MIR:MIR_Legacy")) })