sampleScoreHeatmap {GenomicSuperSignature} | R Documentation |
Plot heatmap of the sample scores
sampleScoreHeatmap( score, dataName, modelName, cluster_rows = TRUE, cluster_columns = TRUE, show_row_names = TRUE, show_column_names = TRUE, row_names_gp = 0.7, column_names_gp = 5, ... )
score |
An output from |
dataName |
Title on the row. The name of the dataset to be scored. |
modelName |
Title on the column. The RAVmodel used for scoring. |
cluster_rows |
A logical. Under the default ( |
cluster_columns |
A logical. Under the default ( |
show_row_names |
Whether show row names. Default is |
show_column_names |
Whether show column names. Default is |
row_names_gp |
Graphic parameters for row names. The default is 0.7. |
column_names_gp |
Graphic parameters for column names. The default is 5. |
... |
Any additional argument for |
A heatmap of the sample score. Rows represent samples and columns represent RAVs.
data(miniRAVmodel) library(bcellViper) data(bcellViper) score <- calculateScore(dset, miniRAVmodel) sampleScoreHeatmap(score, dataName="bcellViper", modelName="miniRAVmodel")