plot_ontology_levels: Plot ontology levels

In neurogenomics/MultiEWCE: Multi-Scale Target Explorer

Plot ontology levels

Description

Generate plots comparing the ontology level of each HPO phenotype and several other metrics.

Usage

plot_ontology_levels(
  results = load_example_results(),
  p2g = HPOExplorer::load_phenotype_to_genes(),
  ctd_list = load_example_ctd(file = paste0("ctd_", unique(results$ctd), ".rds"),
    multi_dataset = TRUE),
  x_vars = c("genes", "cell types", "estimate", "mean_specificity"),
  log_vars = x_vars %in% c("estimate", "statistic", "F", "ges", "effect"),
  sig_vars = x_vars %in% c("estimate", "statistic", "F", "ges", "effect", "cell types",
    "mean_specificity"),
  group_vars = c("hpo_id", "ontLvl", "ctd"),
  q_threshold = 0.05,
  min_value = NULL,
  label.x.npc = 0.05,
  label.y.npc = 0.5,
  n.breaks = 4,
  notch = FALSE,
  nrow = 2,
  show_plot = TRUE,
  save_path = NULL,
  height = 7,
  width = length(x_vars) * 5.75,
  smooth.line.args = list(method = "loess", se = FALSE),
  return_data = TRUE
)

Arguments

results	The cell type-phenotype enrichment results generated by gen_results and merged together with merge_results
p2g	Phenotype to gene data.
ctd_list	A named list of CellTypeDataset objects each created with generate_celltype_data.
x_vars	Variables to plot on the x-axis of each subplot.
log_vars	Logical vector indicating which variables to log-transform.
sig_vars	Logical vector indicating which variables to only plot for significant results.
group_vars	Compute the mean value for each x_vars grouped by the group_vars. This can be less accurate for some metrics but helps to drastically reduce computational load.
q_threshold	The q value threshold to subset the results by.
min_value	Minimum value for the specificity metric.
label.x.npc, label.y.npc	can be numeric or character vector of the same length as the number of groups and/or panels. If too short they will be recycled. If numeric, value should be between 0 and 1. Coordinates to be used for positioning the label, expressed in "normalized parent coordinates". If character, allowed values include: i) one of c('right', 'left', 'center', 'centre', 'middle') for x-axis; ii) and one of c( 'bottom', 'top', 'center', 'centre', 'middle') for y-axis. If too short they will be recycled.
n.breaks	Passed to scale_fill_viridis_c.
notch	If FALSE (default) make a standard box plot. If TRUE, make a notched box plot. Notches are used to compare groups; if the notches of two boxes do not overlap, this suggests that the medians are significantly different.
nrow	Number of facet rows for the plot.
show_plot	Print the plot to the console.
save_path	Save the plot to a file. Set to NULL to not save the plot.
height	Height of the saved plot.
width	Width of the saved plot.
smooth.line.args	A list of additional aesthetic arguments to be passed to geom_smooth geom used to display the regression line.
return_data	Return the full long data used in the plots.

Value

A named list containing the data and the plot.

Examples

out <- plot_ontology_levels()

neurogenomics/MultiEWCE documentation built on April 22, 2024, 6:22 a.m.