Plot heatmap of the sample scores

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,
  ...
)

Arguments

score

An output from calculateScore function, which is a matrix with samples (row) and PrcompClusters (column) If it is a simple vector, it will be converted to a one-column matrix.

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 (TRUE), rows will be clustered.

cluster_columns

A logical. Under the default (TRUE), columns will be clustered.

show_row_names

Whether show row names. Default is TRUE, showing the row name.

show_column_names

Whether show column names. Default is TRUE, showing the column name.

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 Heatmap

Value

A heatmap of the sample score. Rows represent samples and columns represent RAVs.

Examples

data(miniRAVmodel)
library(bcellViper)
data(bcellViper)
score <- calculateScore(dset, miniRAVmodel)
sampleScoreHeatmap(score, dataName="bcellViper", modelName="miniRAVmodel")