Ridge Plot of Bootstrap Enrichment Results for Terms of Interest
ridge_bootstraps.Rd
This function creates a ridge plot visualizing the distribution of intersection sizes (TP) for specified terms of interest from bootstrap enrichment results.
Arguments
- enrich_res
A data frame containing the enrichment results per bootstrap, including columns for Term, n (TP), and fraction.
- terms_of_interest
A character vector specifying the terms of interest to be plotted.
- condition
Optional. A character string specifying a particular condition to filter the enrichment results. If
NULL
(the default), results from all conditions will be included.
Value
A ggplot object displaying the ridge plot of intersection sizes for the specified terms of interest.
Details
The function filters the enrichment results to include only the specified terms of interest and creates a ridge plot showing the distribution of intersection sizes (TP). The terms are labeled with their names and the fraction of bootstraps in which they appear, and the plot includes quantile lines to indicate distribution quartiles.
Examples
if (FALSE) { # \dontrun{
data("example_ORA_obj")
data("example_ORA_custom_universe")
input_scm = example_ORA_obj$scmatrix
conds = example_ORA_obj$conditions
cond_x = "U"
cond_y = "F"
ORA_obj <- initEnrichment(
scmatrix = input_scm,
conditions = conds,
enrichment_type = "ORA",
annot_db = "HMDB",
consider_isomers = TRUE,
consider_isobars = TRUE,
polarization_mode = "positive",
background_type = "sub_class",
molecule_type = "Metabo",
condition.x = cond_x,
condition.y = cond_y
)
ORA_res <- Run_enrichment(
object = ORA_obj,
custom_universe = example_ORA_custom_universe,
report_ambiguity_scores = TRUE,
DE_LFC_cutoff = 0,
min.pct.diff = 0
)
multi_cond_res = collapse_ORA_boot_multi_cond(ORA_boot_res_list = ORA_res)
p4 = ridge_bootstraps(enrich_res = multi_cond_res$unfiltered_enrich_res,
terms_of_interest = c(multi_cond_res$clean_enrich_res$Term),
condition = "upregulated")
} # }