Nothing
context("Marker-based decomposition")
library(Biobase)
test_that("Catches input errors", {
# Expression not in eset
bulk.counts <- matrix(0,nrow=2,ncol=2)
bulk.eset <- Biobase::ExpressionSet(assayData = bulk.counts)
markers <- data.frame(gene=c("1","2"), cluster=c("a", "b"))
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.counts, markers))
# Trying to use min_gene = 0
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers,
min_gene=0, max_gene=5))
# Min gene greater than max gene
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers,
min_gene=6, max_gene=5))
# Not enough markers
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers))
# No overlapping markers
markers <- data.frame(gene=c("3","4"), cluster=c("a", "b"))
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=1))
# No marker genes after filtering for zero variance
markers <- data.frame(gene=c("1","2"), cluster=c("a", "b"))
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=1))
# One cell type loses too many markers due to zero variance
bulk.counts <- matrix(1:36,nrow=6,ncol=6)
bulk.counts[1,] = rep(0, 6)
bulk.eset <- Biobase::ExpressionSet(assayData = bulk.counts)
markers <- data.frame(gene=as.character(1:6), cluster=c("a", "a", "a",
"b", "b", "b"))
expect_error(BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=3))
})
test_that("Produces output for simulated data", {
bulk.eset <- Biobase::ExpressionSet(assayData = matrix(1:16, nrow=4, ncol=4))
markers <- data.frame(gene=as.character(1:4), cluster=rep('a', 4), avg_logFC=rep(.3, 4))
# weighted
expect_warning(res <- BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=4, weighted=T))
expect_true("bulk.props" %in% unlist(attributes(res)))
# unweighted
expect_warning(res <- BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=4, weighted=F))
expect_true("bulk.props" %in% unlist(attributes(res)))
# weighted with max.gene = 1
expect_warning(res <- BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=1, max_gene=1, weighted=T))
expect_true("bulk.props" %in% unlist(attributes(res)))
# unweighted with max.gene = 1
expect_warning(res <- BisqueRNA::MarkerBasedDecomposition(bulk.eset, markers, min_gene=1, max_gene=1, weighted=F))
expect_true("bulk.props" %in% unlist(attributes(res)))
})
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