sampleScoreHeatmap: Plot heatmap of the sample scores

In shbrief/GenomicSuperSignature: Interpretation of RNA-seq experiments through robust, efficient comparison to public databases

Plot heatmap of the sample scores

Description

Plot heatmap of the sample scores

Usage

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")

shbrief/GenomicSuperSignature documentation built on May 3, 2023, 10:07 p.m.