Plot the patients' jackknife trajectory frequencies.

This function plots a raster of the patients' jackknife co-clustering probability.

The input matrix to this function can be obtained via Jackknife_patient_coclustering; in the visualisation the patient ids are coloured and ordered according to the clusters in the input dataset, which can be obtained via Cluster.

plot_jackknife_trajectories_stability(
  x,
  annotate_probability = 0.9,
  annotate_percentage = 0.2
)

Arguments

x

A REVOLVER cohort with fits, clusters and jackknife results available.

annotate_probability

Probability threshold above which trajectories are annotated.

annotate_percentage

Percentage threshold above which trajectories are annotated.

Value

A ggplot figure.

See also

Other Plotting functions: distinct_palette_few(), distinct_palette_many(), gradient_palette(), plot_DET_index(), plot_clusters(), plot_dendrogram(), plot_drivers_clonality(), plot_drivers_graph(), plot_drivers_occurrence(), plot_jackknife_cluster_stability(), plot_jackknife_coclustering(), plot_patient_CCF_histogram(), plot_patient_data(), plot_patient_mutation_burden(), plot_patient_oncoprint(), plot_patient_trees_scores()

Examples

# Data released in the 'evoverse.datasets'
data('TRACERx_NEJM_2017_REVOLVER', package = 'evoverse.datasets')

plot_jackknife_trajectories_stability(TRACERx_NEJM_2017_REVOLVER)