data("count_table", package = "ScreenR")
data("annotation_table", package = "ScreenR")
data <- count_table
annotaion <- annotation_table
groups <- factor(c(
"T1/T2", "T1/T2", "Treated", "Treated", "Treated",
"Control", "Control", "Control", "Treated", "Treated", "Treated",
"Control", "Control", "Control"
))
palette <- c(
"#1B9E75", "#1B9E75", "#D95F02", "#D95F02", "#D95F02",
"#7570B3", "#7570B3", "#7570B3", "#E7298A", "#E7298A", "#E7298A",
"#66A61E", "#66A61E", "#66A61E"
)
create_test_object <- function() {
data <- data %>%
dplyr::filter(Barcode != "*")
colnames(data) <- c(
"Barcode", "T1", "T2", "Time3_TRT_A", "Time3_TRT_B", "Time3_TRT_C",
"Time3_A", "Time3_B", "Time3_C", "Time4_TRT_A", "Time4_TRT_B",
"Time4_TRT_C", "Time4_A", "Time4_B", "Time4_c"
)
obj <- create_screenr_object(
table = data,
annotation = annotaion, groups = groups, replicates = c("")
)
obj <- normalize_data(obj)
obj <- compute_data_table(obj)
obj@data_table <- obj@data_table %>%
dplyr::filter(Gene %in% paste0("Gene_", seq(1, 10)))
obj@normalized_count_table <- obj@normalized_count_table %>%
dplyr::filter(Barcode %in% obj@data_table$Barcode)
obj@count_table <- obj@count_table %>%
dplyr::filter(Barcode %in% obj@data_table$Barcode)
obj@annotation_table <- obj@annotation_table %>%
dplyr::filter(Barcode %in% obj@data_table$Barcode)
return(obj)
}
test_that("find_common_hit 2", {
hit_zscore <- data.frame(Gene = c("A", "B", "C", "D", "E"))
hit_camera <- data.frame(Gene = c("A", "B", "C", "F", "H", "G"))
hit_roast <- data.frame(Gene = c("A", "L", "N"))
common_hit <-
find_common_hit(hit_zscore, hit_camera, hit_roast, common_in = 2)
expect_equal(common_hit, c("A", "B", "C"))
})
test_that("find_common_hit 3", {
hit_zscore <- data.frame(Gene = c("A", "B", "C", "D", "E"))
hit_camera <- data.frame(Gene = c("A", "B", "C", "F", "H", "G"))
hit_roast <- data.frame(Gene = c("A", "L", "N"))
common_hit <- find_common_hit(hit_zscore,
hit_camera,
hit_roast,
common_in = 3
)
# expect_equal(class(find_common_hit), "character")
expect_equal(common_hit, c("A"))
})
test_that("find_roast_hit", {
set.seed(42)
object <- get0("object", envir = asNamespace("ScreenR"))
matrix_model <- model.matrix(~ slot(object, "groups"))
colnames(matrix_model) <- c("Control", "T1_T2", "Treated")
expect_warning(find_roast_hit(object,
matrix_model = matrix_model,
contrast = "Treated", nrot = 20
))
})
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