Heatmap of membership in each partition

Heatmap of membership in each partition

# S4 method for ConsensusPartition
membership_heatmap(object, k, internal = FALSE,
    anno = object@anno, anno_col = get_anno_col(object),
    show_column_names = FALSE, column_names_gp = gpar(fontsize = 8), ...)

Arguments

object

A ConsensusPartition-class object.

k

Number of subgroups.

internal

Used internally.

anno

A data frame of annotations for the original matrix columns. By default it uses the annotations specified in consensus_partition or run_all_consensus_partition_methods.

anno_col

A list of colors (color is defined as a named vector) for the annotations. If anno is a data frame, anno_col should be a named list where names correspond to the column names in anno.

show_column_names

Whether show column names in the heatmap (which is the column name in the original matrix).

column_names_gp

Graphics parameters for column names.

...

Other arguments.

Details

Each row in the heatmap is the membership in one single partition.

Heatmap is split on rows by top_n.

Value

No value is returned.

Author

Zuguang Gu <z.gu@dkfz.de>

Examples

data(golub_cola)
membership_heatmap(golub_cola["ATC", "skmeans"], k = 3)