Nothing
context("Testing correlation & clustering results.")
library(testthat)
out = create_scDataset_raw(featureType = "window")
mat = out$mat
annot = out$annot
scExp = create_scExp(mat,annot)
scExp = normalize_scExp(scExp)
scExp = reduce_dims_scExp(scExp)
scExp = correlation_and_hierarchical_clust_scExp(scExp)
test_that("Correlation & hierarchical clustering - Wrong inputs.", {
expect_error(correlation_and_hierarchical_clust_scExp(NULL))
expect_error(correlation_and_hierarchical_clust_scExp(scExp, correlation = "ABC"))
expect_error(correlation_and_hierarchical_clust_scExp(scExp, hc_linkage = "ABC"))
scExp. = scExp
SingleCellExperiment::reducedDim(scExp., "PCA") = NULL
expect_error(correlation_and_hierarchical_clust_scExp(scExp.))
})
test_that("Correlation & hierarchical clustering - Right inputs.", {
expect_s4_class(correlation_and_hierarchical_clust_scExp(scExp),
"SingleCellExperiment")
expect_s4_class(correlation_and_hierarchical_clust_scExp(scExp, correlation = "spearman", hc_linkage = "mcquitty"),
"SingleCellExperiment")
expect_s4_class(correlation_and_hierarchical_clust_scExp(scExp, correlation = "kendall", hc_linkage = "median"),
"SingleCellExperiment")
expect_is(scExp@metadata$hc_cor,
"hclust")
expect_type(SingleCellExperiment::reducedDim(scExp,"Cor"),
"double")
expect_is(SingleCellExperiment::reducedDim(scExp,"Cor"),
"matrix")
})
scExp_cf. = filter_correlated_cell_scExp(scExp, random_iter = 50, percent_correlation = 2,
corr_threshold = 99)
test_that("Filtering lowly correlated cells - Wrong inputs.", {
expect_error(filter_correlated_cell_scExp(NULL))
expect_error(filter_correlated_cell_scExp(scExp, percent_correlation = NULL))
expect_error(filter_correlated_cell_scExp(scExp, corr_threshold = NULL))
scExp. = scExp
SingleCellExperiment::reducedDim(scExp., "Cor") = NULL
expect_error(filter_correlated_cell_scExp(scExp.))
})
test_that("Filtering lowly correlated cells - Right inputs.", {
expect_s4_class(filter_correlated_cell_scExp(scExp),
"SingleCellExperiment")
# No filtering :
expect_equal(dim(filter_correlated_cell_scExp(scExp, corr_threshold = 0,verbose = FALSE )),
dim(scExp))
expect_equal(dim(filter_correlated_cell_scExp(scExp, percent_correlation = 0, verbose = FALSE)),
dim(scExp))
expect_lt(ncol(filter_correlated_cell_scExp(scExp,percent_correlation = 5, verbose = FALSE)),
ncol(scExp))
})
scExp_cf = scExp_cf.
test_that("Consensus Clustering - Wrong inputs.", {
expect_error(consensus_clustering_scExp(NULL))
expect_error(consensus_clustering_scExp(scExp_cf,maxK = NULL))
})
scExp_cf = consensus_clustering_scExp(scExp_cf)
test_that("Consensus Clustering - Right inputs.", {
expect_s4_class(scExp_cf,
"SingleCellExperiment")
# No filtering :
expect_is(scExp_cf@metadata$consclust, "list")
expect_is(scExp_cf@metadata$consclust[[1]], "matrix")
expect_is(scExp_cf@metadata$consclust[[2]], "list")
expect_is(scExp_cf@metadata$icl, "list")
expect_is(scExp_cf@metadata$icl$clusterConsensus, "matrix")
expect_is(scExp_cf@metadata$icl$itemConsensus, "data.frame")
})
test_that("Choosing clusters - Wrong inputs.", {
expect_error(choose_cluster_scExp(NULL))
expect_error(choose_cluster_scExp(scExp_cf, nclust = NULL))
scExp_cf. = scExp_cf
scExp_cf.@metadata$consclust = NULL
expect_error(choose_cluster_scExp(scExp_cf.))
})
scExp_cf = choose_cluster_scExp(scExp_cf, nclust = 3)
test_that("Choosing clusters - Right inputs.", {
expect_s4_class(choose_cluster_scExp(scExp_cf),
"SingleCellExperiment")
# No filtering :
expect_is(SingleCellExperiment::colData(scExp_cf)$cell_cluster, "character")
expect_is(SingleCellExperiment::colData(scExp_cf)$cell_cluster_color, "character")
expect_is(scExp_cf@metadata$hc_cor, "hclust")
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.