sampleScoreHeatmap {GenomicSuperSignature} | R Documentation

## 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")

[Package GenomicSuperSignature version 1.0.1 Index]