top_rows_heatmap-HierarchicalPartition-method: Heatmap of top rows from different top-value methods
In jokergoo/cola: A Framework for Consensus Partitioning

top_rows_heatmap-HierarchicalPartition-method

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 'HierarchicalPartition'
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 `HierarchicalPartition-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 `hierarchical_partition`.
`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`