diversify_b_terms

Enforce diversity by selecting top connections from each B term

internal

A suite of tools for literature-based discovery in biomedical research.
Provides functions for retrieving scientific articles from 'PubMed' and
other NCBI databases, extracting biomedical entities (diseases, drugs, genes, etc.),
building co-occurrence networks, and applying various discovery models
including 'ABC', 'AnC', 'LSI', and 'BITOLA'. The package also includes
visualization tools for exploring discovered connections.

Chao Liu Liu

LBDiscover

Literature-Based Discovery Tools for Biomedical Research

Chao Liu 

diversify_b_terms function

<dl><dt>results</dt>
<dd>Data frame with ABC model results</dd>
<dt>max_per_group</dt>
<dd>Maximum number of results to keep per B term</dd></dl>

Arguments

Enforce diversity by selecting top connections from each B term — diversify_b_terms

<dl>

<dt>results</dt>
<dd>Data frame with ABC model results</dd>


<dt>max_per_group</dt>
<dd>Maximum number of results to keep per B term</dd>

</dl>

diversify_b_terms: Enforce diversity by selecting top connections from each B term

Description

Usage

Value

Arguments