<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>PubMed Pairwise Co-Occurrence Matrix Construction and
Visualization</dc:title>
  <dc:title>R package PubMatrixR version 1.0.0</dc:title>
  <dc:description>Queries the 'NCBI' (National Center for Biotechnology Information)
    Entrez 'E-utilities' API to count pairwise co-occurrences between two sets
    of terms in 'PubMed' or 'PubMed Central'. It returns a matrix-like data
    frame of publication counts and can export hyperlink-enabled results in
    CSV or ODS format. The package also provides heatmap helpers for
    exploratory visualization of overlap patterns. Based on the method described
    in Becker et al. (2003) "PubMatrix: a tool for multiplex literature mining"
    &lt;doi:10.1186/1471-2105-4-61&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: pbapply, pheatmap, readODS, xml2</dc:relation>
  <dc:relation>Suggests: dplyr, ggplot2, kableExtra, knitr, rmarkdown, testthat (&gt;=
3.0.0)</dc:relation>
  <dc:creator>Enrique Toledo &lt;enriquetoledo@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tyler Laird [aut],
  Enrique Toledo [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-1460-4708&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PubMatrixR/LICENSE)</dc:rights>
  <dc:date>2026-03-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PubMatrixR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PubMatrixR</dc:identifier>
</oai_dc:dc>
