diversify_abc: Enforce diversity in ABC model results

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Enforce diversity in ABC model results

Description

This function applies diversity enforcement to ABC model results by:

1. Removing duplicate paths to the same C term

2. Ensuring B term diversity by selecting top results from each B term group

3. Preventing A and C terms from appearing as B terms

Usage

diversify_abc(
  abc_results,
  diversity_method = c("both", "b_term_groups", "unique_c_paths"),
  max_per_group = 3,
  min_score = 0.1
)

Arguments

abc_results	A data frame containing ABC results.
diversity_method	Method for enforcing diversity: "b_term_groups", "unique_c_paths", or "both".
max_per_group	Maximum number of results to keep per B term or C term.
min_score	Minimum score threshold for including connections.

Value

A data frame with diverse ABC results.

LBDiscover documentation built on June 16, 2025, 5:09 p.m.