membership_heatmap-ConsensusPartition-method: Heatmap of membership in each partition

In jokergoo/cola: A Framework for Consensus Partitioning

Heatmap of membership in each partition

Description

Heatmap of membership in each partition

Usage

## S4 method for signature '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(s)

Zuguang Gu <[e-mail]>

Examples

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

jokergoo/cola documentation built on Feb. 7, 2025, 8:33 a.m.