top_rows_heatmap-ConsensusPartitionList-method: Heatmap of top rows from different top-value methods

In cola: A Framework for Consensus Partitioning

Description

Heatmap of top rows from different top-value methods

Usage

## S4 method for signature 'ConsensusPartitionList'
top_rows_heatmap(object, top_n = min(object@list[[1]]@top_n),
    anno = get_anno(object), anno_col = get_anno_col(object),
    scale_rows = object@list[[1]]@scale_rows, ...)

Arguments

object	A ConsensusPartitionList-class object.
top_n	Number of top rows.
anno	A data frame of annotations for the original matrix columns. By default it uses the annotations specified in 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.
scale_rows	Wether to scale rows.
...	Pass to top_rows_heatmap,matrix-method

Value

No value is returned.

Author(s)

Zuguang Gu <[e-mail]>

See Also

top_rows_heatmap,matrix-method

Examples

data(golub_cola)
top_rows_heatmap(golub_cola)

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