Apply BITOLA-style discovery model

This function implements a BITOLA-style discovery model based on MeSH term co-occurrence and semantic type filtering.

Usage

bitola_model(
  co_matrix,
  a_term,
  a_semantic_type = NULL,
  c_semantic_type = NULL,
  min_score = 0.1,
  n_results = 100
)

Arguments

co_matrix

A co-occurrence matrix produced by create_cooccurrence_matrix().

a_term

Character string, the source term (A).

a_semantic_type

Character string, the semantic type for A term.

c_semantic_type

Character string, the semantic type for C terms.

min_score

Minimum score threshold for results.

n_results

Maximum number of results to return.

Value

A data frame with ranked discovery results.

Examples

if (FALSE) { # \dontrun{
bitola_results <- bitola_model(co_matrix, a_term = "migraine",
                                   a_semantic_type = "Disease",
                                   c_semantic_type = "Gene")
} # }