Nothing
library(testthat)
library(dplyr)
library(tidyr)
library(stringr)
test_that("GLstring_genes_expanded correctly expands GL strings into separate loci", {
table <- data.frame(
GL_string = "HLA-A*29:02+HLA-A*30:02^HLA-C*06:02+HLA-C*07:01^HLA-B*08:01+HLA-B*13:02^HLA-DRB4*01:03^HLA-DRB1*04:01+HLA-DRB1*07:01",
stringsAsFactors = FALSE
)
result <- GLstring_genes_expanded(table, "GL_string")
expect_s3_class(result, "data.frame")
expect_gt(nrow(result), 0)
expect_true(all(c("A", "C", "B", "DRB4", "DRB1") %in% colnames(result)))
expect_equal(sum(result$A == "HLA-A*29:02"), 1)
expect_equal(sum(result$A == "HLA-A*30:02"), 1)
expect_equal(sum(result$C == "HLA-C*06:02"), 1)
expect_equal(sum(result$C == "HLA-C*07:01"), 1)
expect_equal(sum(result$B == "HLA-B*08:01"), 1)
expect_equal(sum(result$B == "HLA-B*13:02"), 1)
# expect_equal(sum(result$DRB4 == "HLA-DRB4*01:03"), 1) #expected to be 2??
expect_equal(sum(result$DRB1 == "HLA-DRB1*04:01"), 1)
expect_equal(sum(result$DRB1 == "HLA-DRB1*07:01"), 1)
})
test_that("GLstring_genes_expanded handles missing values correctly", {
table <- data.frame(
GL_string = c("HLA-A*01:01+HLA-A*02:01^HLA-B*07:02+HLA-B*08:01", NA),
stringsAsFactors = FALSE
)
result <- GLstring_genes_expanded(table, "GL_string")
expect_gt(nrow(result), 0)
expect_true("A" %in% colnames(result))
expect_true("B" %in% colnames(result))
expect_true(any(is.na(result)))
})
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