Plot CCF clusters data (tile).
plot_CCF_clusters.RdThis function creates a ggplot-style
heatmap of the input CCF cluster of each clone in the data.
The heatmap is annotated for the drivers status of each
clone (with/ without driver). The CCF values are used to
colour the heatmap (`NA` values are in light gray).
Examples
data(ctree_input)
x = ctrees(
ctree_input$CCF_clusters,
ctree_input$drivers,
ctree_input$samples,
ctree_input$patient,
ctree_input$sspace.cutoff,
ctree_input$n.sampling,
ctree_input$store.max
)
#> [ ctree ~ clone trees generator for CUK12345 ]
#>
#> # A tibble: 7 × 7
#> cluster nMuts is.driver is.clonal R1 R2 R3
#> <chr> <int> <lgl> <lgl> <dbl> <dbl> <dbl>
#> 1 1 72 TRUE FALSE 0 0.92 0
#> 2 2 69 TRUE TRUE 0.99 0.98 0.99
#> 3 3 48 FALSE FALSE 0 0 0.49
#> 4 4 29 FALSE FALSE 0.01 0.01 0.93
#> 5 5 24 TRUE FALSE 0.78 0 0
#> 6 6 23 TRUE FALSE 0.98 0.03 0.98
#> 7 7 15 FALSE FALSE 0 0.41 0
#>
#> ✔ Trees per region 1, 3, 1
#> ℹ Total 3 tree structures - search is exahustive
#>
#> ── Ranking trees
#> ✔ 3 trees with non-zero score, storing 3
plot_CCF_clusters(x[[1]])
#> Warning: Removed 8 rows containing missing values (geom_text).
