validate_abc: Apply statistical validation to ABC model results with...

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Apply statistical validation to ABC model results with support for large matrices

Description

This function performs statistical tests to validate ABC model results. It calculates p-values using hypergeometric tests and applies correction for multiple testing. The function is optimized to work with very large co-occurrence matrices.

Usage

validate_abc(
  abc_results,
  co_matrix,
  alpha = 0.05,
  correction = c("BH", "bonferroni", "none"),
  filter_by_significance = FALSE
)

Arguments

abc_results	A data frame containing ABC results.
co_matrix	The co-occurrence matrix used to generate the ABC results.
alpha	Significance level (p-value threshold).
correction	Method for multiple testing correction.
filter_by_significance	Logical. If TRUE, only returns significant results.

Value

A data frame with ABC results and statistical significance measures.

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