context("Testing gene set heatmap and related functionality")
test_that("Geneset heatmap is created", {
cur_gsid <- res_enrich_IFNg_vs_naive$gs_id[1]
p <- gs_heatmap(
se = vst_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df,
geneset_id = cur_gsid,
FDR = 0.05,
de_only = FALSE,
cluster_rows = TRUE,
cluster_columns = TRUE,
center_mean = TRUE,
scale_row = TRUE
)
expect_is(p, "HeatmapList")
p2 <- gs_heatmap(
se = vst_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df,
geneset_id = cur_gsid,
FDR = 0.05,
de_only = TRUE,
cluster_rows = TRUE,
cluster_columns = TRUE,
center_mean = TRUE,
scale_row = TRUE
)
expect_is(p2, "HeatmapList")
vst_macrophage$condition_char <- as.character(vst_macrophage$condition)
vst_macrophage$some_numbers <- seq_len(ncol(vst_macrophage))
vst_macrophage$also_negative_numbers <- vst_macrophage$some_numbers * c(-1, 1)
p3 <- gs_heatmap(
se = vst_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df,
geneset_id = cur_gsid,
FDR = 0.05,
de_only = TRUE,
cluster_rows = TRUE,
cluster_columns = TRUE,
center_mean = TRUE,
scale_row = TRUE,
winsorize_threshold = 2,
anno_col_info = c(
"condition_char",
"some_numbers",
"also_negative_numbers"
),
plot_title = "Just this as title"
)
expect_is(p3, "HeatmapList")
gtl_macrophage <- GeneTonicList(
dds = dds_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df
)
p4 <- gs_heatmap(
se = vst_macrophage,
gtl = gtl_macrophage,
geneset_id = cur_gsid
)
expect_is(p4, "HeatmapList")
# enforcing id not present in the object
mycustomlist <- c(
rownames(vst_macrophage)[1:10],
"ENSmadeUPid"
)
expect_warning(
p4 <- gs_heatmap(
se = vst_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df,
genelist = mycustomlist,
FDR = 0.05,
de_only = FALSE,
cluster_rows = TRUE,
cluster_columns = TRUE,
center_mean = TRUE,
scale_row = TRUE,
anno_col_info = "condition"
)
)
expect_error(
p5 <- gs_heatmap(
se = vst_macrophage,
res_de = res_macrophage_IFNg_vs_naive,
res_enrich = res_enrich_IFNg_vs_naive,
annotation_obj = anno_df,
genelist = mycustomlist,
FDR = 0.05,
de_only = FALSE,
cluster_rows = TRUE,
cluster_columns = TRUE,
center_mean = TRUE,
scale_row = TRUE,
winsorize_threshold = -3,
anno_col_info = "condition"
)
)
file.remove("Rplots.pdf")
})
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