collect_classes-ConsensusPartition-method {cola} | R Documentation

## Collect subgroups from ConsensusPartition object

### Description

Collect subgroups from ConsensusPartition object

### Usage

    ## S4 method for signature 'ConsensusPartition'
    collect_classes(object, internal = FALSE,
        show_row_names = FALSE, row_names_gp = gpar(fontsize = 8),
        anno = object@anno, anno_col = object@anno_col)

### Arguments

`object` | A `ConsensusPartition-class` object.
`internal` | Used internally.
`show_row_names` | Whether to show row names in the heatmap (which is the column name in the original matrix).
`row_names_gp` | Graphics parameters for row names.
`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`.

### Details

The percent membership matrix and the subgroup labels for each k are plotted in the heatmaps.

Same row in all heatmaps corresponds to the same column in the original matrix.

### Value

No value is returned.

### Author(s)

Zuguang Gu <z.gu@dkfz.de>

### Examples

    data(golub_cola)
    collect_classes(golub_cola["ATC", "skmeans"])

[Package cola version 1.8.1 Index]