summarise_results: Summarise results

In neurogenomics/MultiEWCE: Multi-Scale Target Explorer

Summarise results

Description

Summarise results from MSTExplorer.

Usage

summarise_results(
  results,
  group_var = "ctd",
  add_merged = TRUE,
  phenotype_to_genes = HPOExplorer::load_phenotype_to_genes(),
  digits = 3,
  save_path = tempfile("summarise_results.csv")
)

Arguments

results	The cell type-phenotype enrichment results generated by gen_results and merged together with merge_results
group_var	Variable to segregate results by.
add_merged	Add a merged summary across all groups.
phenotype_to_genes	Output of load_phenotype_to_genes mapping phenotypes to gene annotations.
digits	a positive integer indicating how many significant digits are to be used for numeric and complex x. The default, NULL, uses getOption("digits"). This is a suggestion: enough decimal places will be used so that the smallest (in magnitude) number has this many significant digits, and also to satisfy nsmall. (For more, notably the interpretation for complex numbers see signif.)
save_path	Path to save the summary to as a CSV.

Examples

results <- load_example_results()
summary_split <- summarise_results(results, group_var="ctd")
summary_merged <- summarise_results(results, group_var=NULL)

neurogenomics/MultiEWCE documentation built on Sept. 28, 2024, 2:27 a.m.