Visualization Guide • molpathR

Overview

All molpathR plot functions return ggplot2 objects, so you can customize them with standard ggplot2 syntax.

library(molpathR)
db <- mp_example_db(n_patients = 150, seed = 42)

mp_plot_variant_landscape(db, top_n = 10)

mp_plot_vaf_distribution(db, gene = "TP53")

# Overall survival by diagnosis
mp_plot_survival(db, group_by = "diagnosis", type = "os")

# Stratify by TP53 mutation status
mp_plot_survival(db, group_by = "TP53", type = "os")

plots <- mp_plot_cohort_overview(db)
plots$diagnosis

plots$top_genes

pid <- db$patients$patient_id[1]
mp_plot_timeline(db, pid)

All plots can be customized with ggplot2:

library(ggplot2)
mp_plot_vaf_distribution(db) +
  labs(title = "Custom Title") +
  theme(plot.title = element_text(colour = "purple"))