Collect subgroups from ConsensusPartition object

# S4 method for 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

Zuguang Gu <z.gu@dkfz.de>

Examples

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