diversify_c_paths

Enforce diversity for C term paths

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_c_paths function

<dl><dt>results</dt>
<dd>Data frame with ABC model results</dd>
<dt>max_per_c</dt>
<dd>Maximum number of paths to keep per C term</dd></dl>

Arguments

Enforce diversity for C term paths — diversify_c_paths

<dl>

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


<dt>max_per_c</dt>
<dd>Maximum number of paths to keep per C term</dd>

</dl>

diversify_c_paths: Enforce diversity for C term paths

Description

Usage

Value

Arguments