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Displays the observed distribution of counts for each mutation type, the distribution of reconstructed counts for each mutation type using the inferred mutational signatures, and the difference between the two distributions.

Usage

plot_sample_reconstruction_error(
  musica,
  sample,
  model_id,
  modality = "SBS96",
  result_name = "result",
  plotly = FALSE
)

Arguments

musica

A musica object.

sample

Name of the sample within the musica object.

model_id

The name of the desired model.

modality

The modality of the model. Must be "SBS96", "DBS78", or "IND83". Default "SBS96".

result_name

Name of the result list entry containing desired model. Default "result".

plotly

If TRUE, the the plot will be made interactive using plotly. Default FALSE.

Value

Generates a ggplot or plotly object

Examples

data(res)
plot_sample_reconstruction_error(res, "TCGA-ER-A197-06A-32D-A197-08",
model_id = "res")
#> Warning: Removed 85 rows containing missing values or values outside the scale range
#> (`geom_bar()`).