<?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>Three Dimensional High Throughput 'GoMiner'</dc:title>
  <dc:title>R package HTGM3D version 1.0.3</dc:title>
  <dc:description>The Gene Ontology (GO) Consortium &lt;https://geneontology.org/&gt; organizes genes
  into hierarchical categories based on biological process (BP), molecular function (MF) and
  cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R.,
  Feng, W., Wang, G. et al. (2003) &lt;doi:10.1186/gb-2003-4-4-r28&gt;) can leverage GO to perform
  ontological analysis of microarray and proteomics studies, typically generating a list of
  significant functional categories. To capture the benefit of all three ontologies,
  I developed 'HTGM3D', a three-dimensional version of 'GoMiner'.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0)</dc:relation>
  <dc:relation>Imports: minimalistGODB, GoMiner, HTGM, HTGM2D, grDevices, stats,
R2HTML, rgl, vprint, randomGODB, stringr, salesforcer</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Barry Zeeberg &lt;barryz2013@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Barry Zeeberg [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-04-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HTGM3D</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HTGM3D</dc:identifier>
</oai_dc:dc>
