plot_binary_cut | R Documentation |
Visualize the process of binary cut
plot_binary_cut(mat, value_fun = area_above_ecdf, cutoff = 0.85,
partition_fun = partition_by_pam, dend = NULL, dend_width = unit(3, "cm"),
depth = NULL, show_heatmap_legend = TRUE, ...)
mat |
The similarity matrix. |
value_fun |
A function that calculates the scores for the four submatrices on a node. |
cutoff |
The cutoff for splitting the dendrogram. |
partition_fun |
A function to split each node into two groups. Pre-defined functions in this package are |
dend |
A dendrogram object, used internally. |
depth |
Depth of the recursive binary cut process. |
dend_width |
Width of the dendrogram on the plot. |
show_heatmap_legend |
Whether to show the heatmap legend. |
... |
Other arguments. |
After the functions which perform clustering are executed, such as simplifyGO
or
binary_cut
, the dendrogram is temporarily saved and plot_binary_cut
directly
uses this dendrogram.
mat = readRDS(system.file("extdata", "random_GO_BP_sim_mat.rds",
package = "simplifyEnrichment"))
plot_binary_cut(mat, depth = 1)
plot_binary_cut(mat, depth = 2)
plot_binary_cut(mat)
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