collect_classes-ConsensusPartitionList-method {cola} | R Documentation |
Collect classes from ConsensusPartitionList object
## S4 method for signature 'ConsensusPartitionList' collect_classes(object, k, show_column_names = FALSE, anno = get_anno(object), anno_col = get_anno_col(object))
object |
a |
k |
number of partitions. |
show_column_names |
whether show column names in the heatmap (which is the column name in the original matrix). |
anno |
a data frame of annotations for the original matrix columns. By default it uses the annotations specified in |
anno_col |
a list of colors (color is defined as a named vector) for the annotations. If |
There are following panels in the plot:
a heatmap showing partitions predicted from all methods where the top annotation is the consensus partition summarized from partitions from all methods, weighted by mean silhouette scores in every single method.
a row barplot annotation showing the mean silhouette scores for different methods.
The row clustering is applied on the dissimilarity matrix calculated by cl_dissimilarity
with the comembership
method.
The brightness of the color corresponds to the silhouette scores for the consensus partition in each method.
No value is returned.
Zuguang Gu <z.gu@dkfz.de>
data(cola_rl) collect_classes(cola_rl, k = 3)