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# Tests for markClusterCol function
# ------------------------------------------------------------------------------
context("Testing markClusterCol")
# These tests were created to ensure that the markClusterCol functions works
# correctly and marks the correct column with Cluster_ prefix
# Test markClusterCol with Seurat and sce objects
# ------------------------------------------------------------------------------
# Create test data
set.seed(1234)
counts <- sample(seq(0, 4),
625,
replace = TRUE,
prob = c(0.65, 0.25, 0.04, 0.008, 0.002)) %>%
matrix(nrow = 25) %>%
data.frame()
colnames(counts) <- paste0("cell_", seq(1, 25))
rownames(counts) <- paste0("gene.", seq(1, 25))
# test metadata with 5 columns the last three columns contain the
# clustering information
md <- counts %>%
t() %>%
data.frame() %>%
select(c(gene.1, gene.2, gene.3, gene.4, gene.5)) %>%
dplyr::rename(col1 = gene.1,
col2 = gene.2,
res.0.6 = gene.3,
res.0.8 = gene.4,
res.1.0 = gene.5)
# Test with Seurat object
# ------------------------------------------------------------------------------
test.seurat <- Seurat::CreateSeuratObject(counts = counts,
meta.data = md)
test.md.before <- getMetadata(test.seurat)
### prefix all columns containing patten with "cluster_"
pat <- "res"
test.seurat <- markClusterCol(test.seurat, pattern = pat)
test.md.after <- getMetadata(test.seurat)
# check that no columns are marked before running markClusterCol
test.marked.before <- colnames(test.md.before) %>%
grepl("cluster_", .) %>%
sum()
#checked that columns containing cluser columns are marked
test.marked.after <- colnames(test.md.after) %>%
grepl("cluster_", .) %>%
sum()
#check that columns not containing cluster info remain unmarked
test.marked.after.other <- colnames(test.md.after)[1:5]%>%
grepl("cluster_", .) %>%
sum()
test_that("markClusterCol check that columns
are marked with cluster_ correctly, Seurat", {
expect_is(test.seurat, "Seurat")
expect_is(test.md.before, "data.frame")
expect_is(test.md.after, "data.frame")
expect_equal(colnames(test.md.before)[6], "res.0.6")
expect_equal(colnames(test.md.after)[6], "cluster_res.0.6")
expect_equal(test.marked.before, 0)
expect_equal(test.marked.after, 3)
expect_equal(test.marked.after.other, 0)
})
# Test with SingleCellExperiment object
# ------------------------------------------------------------------------------
test.sce <- SingleCellExperiment(assays = list(counts = as.matrix(counts)),
colData = md)
test.md.before <- getMetadata(test.sce)
### prefix all columns containing patten with "cluster_"
pat <- "res"
test.sce <- markClusterCol(test.sce, pattern = pat)
test.md.after <- getMetadata(test.sce)
# check that no columns are marked before running markClusterCol
test.marked.before <- colnames(test.md.before) %>%
grepl("cluster_", .) %>%
sum()
#checked that columns containing cluser columns are marked
test.marked.after <- colnames(test.md.after) %>%
grepl("cluster_", .) %>%
sum()
#check that columns not containing cluster info remain unmarked
test.marked.after.other <- colnames(test.md.after)[1:2]%>%
grepl("cluster_", .) %>%
sum()
test_that("markClusterCol check that columns
are marked with cluster_ correctly, SCE", {
expect_is(test.sce, "SingleCellExperiment")
expect_is(test.md.before, "data.frame")
expect_is(test.md.after, "data.frame")
expect_equal(colnames(test.md.before)[3], "res.0.6")
expect_equal(colnames(test.md.after)[3], "cluster_res.0.6")
expect_equal(test.marked.before, 0)
expect_equal(test.marked.after, 3)
expect_equal(test.marked.after.other, 0)
})
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