Plot Delta Enrichment or Interaction Effects for Each Marker

This function takes a complex object containing gating tree data and performs statistical tests to evaluate the significance of delta enrichment or interaction effects across markers. It plots the results as boxplots and returns the modified object with additional annotations based on the analysis.

Usage

PlotDeltaEnrichment(x)

Arguments

x: FlowObject.

Value

Returns the object `x` with statistical values

Details

The function conducts Kruskal-Wallis tests to determine the significance of differences across markers, followed by Dunn's test for post-hoc analysis with Bonferroni correction if significant.

Other GatingTree: GatingTreeToDF(), PlotDeltaEnrichmentPrunedTree(), PruneGatingTree(), addChildNode(), add_prune(), apply_gating_conditions(), baseline_entropy(), calculate_enrichment(), calculate_entropy(), collect_all_enrichment(), collect_all_entropy(), collect_history(), collect_leaf_enrichment(), collect_markers(), convertToDataTree(), convert_to_diagrammer(), count_nodes(), createChildNode(), createGatingTreeObject(), findNodeByPath(), find_and_update_nodes(), gating_entropy(), general_node_rule(), generate_marker_names(), getNode(), prune_tree(), recursiveAddChildNode()

Examples

if (FALSE) { # \dontrun{
  x <- PlotDeltaEnrichment(x)
} # }