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

In cola: A Framework for Consensus Partitioning

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, ...)

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).
...	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)

cola documentation built on Nov. 8, 2020, 8:12 p.m.