top_rows_heatmap-ConsensusPartitionList-method {cola} | R Documentation

## Heatmap of top rows from different top-value methods

### 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 <z.gu@dkfz.de>

### See Also

`top_rows_heatmap,matrix-method`

### Examples

    data(golub_cola)
    top_rows_heatmap(golub_cola)

[Package cola version 1.6.0 Index]