tests/testthat/test-omnipath.R

In saezlab/decoupleR: decoupleR: Ensemble of computational methods to infer biological activities from omics data

library(decoupleR)

test_that("test show_resources", {
  lst <- show_resources()
  testthat::expect_true(length(lst) > 0)
})

test_that("test get_resource", {
  df <- get_resource('TFcensus')
  testthat::expect_true(nrow(df) > 0)
})

test_that("test get_progeny human", {
  df <- get_progeny(organism = 'human')
  testthat::expect_true(nrow(df) > 0)
})

test_that("test get_progeny mouse", {
  df <- get_progeny(organism = 'mouse')
  testthat::expect_true(nrow(df) > 0L)
})

test_that("test get_dorothea human", {
  df <- get_dorothea(organism = 'human', levels = c('A', 'B'))
  testthat::expect_true(nrow(df) > 0)
})

test_that("test get_dorothea mouse", {
  df <- get_dorothea(organism = 'mouse', levels = c('A', 'B'))
  testthat::expect_true(nrow(df) > 0)
})

test_that("test get_collectri", {
  df <- get_collectri(split_complexes=FALSE)
  testthat::expect_true(nrow(df) > 0)
  df_split <- get_collectri(split_complexes=TRUE)
  testthat::expect_true(nrow(df) < nrow(df_split))
  df_meta <- get_collectri(load_meta=TRUE)
  testthat::expect_true(ncol(df) < ncol(df_meta))
})