library(S4Vectors)
test_that("wrong inputs", {
# missed input arrays
set.seed(2021)
sce <- makeSimulatedData()
expect_error(fusedLasso(sce, ncores = 1))
# no genecluster identified
sce <- preprocess(sce)
expect_error(fusedLasso(sce, ncores = 1), "No gene cluster number")
# no cluster column
expect_error(fusedLasso(sce, model = "binomial", genecluster = 1, ncores = 1))
# wrong cell state column names
names(colData(sce)) <- "ct"
expect_error(fusedLasso(sce, model = "binomial", genecluster = 1, ncores = 1))
})
test_that("basic fusedLasso analyses", {
set.seed(2021)
sce <- makeSimulatedData()
sce <- preprocess(sce)
sce <- geneCluster(sce, G = seq_len(4), plot = FALSE)
sce_sub <- fusedLasso(sce, model = "binomial", genecluster = 1, ncores = 1)
expect_true(is.numeric(metadata(sce_sub)$lambda))
# gene and donor in formula
colData(sce)$donor <- factor(rep(1:12, each=10))
f <- ratio ~ p(x, pen = "gflasso") + gene + donor
sce_sub <- fusedLasso(sce[1:5,], formula=f,
model = "binomial",
genecluster = 1, ncores = 1)
expect_true(is.factor(metadata(sce_sub)$partition$part))
})
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