<?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>Random Forest Cluster Analysis</dc:title>
  <dc:title>R package RFclust version 0.1.2</dc:title>
  <dc:description>Tools to perform random forest consensus clustering of different data types. The package is designed to accept a list of matrices from different assays, typically from high-throughput molecular profiling so that class discovery may be jointly performed. For references, please see Tao Shi &amp; Steve Horvath (2006) &lt;doi:10.1198/106186006X94072&gt; &amp; Monti et al (2003) &lt;doi:10.1023/A:1023949509487&gt; .</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: ConsensusClusterPlus,randomForest</dc:relation>
  <dc:creator>Ankur Chakravarthy &lt;ankur.chakravarthy.10@ucl.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ankur Chakravarthy, PhD</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2022-06-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RFclust</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RFclust</dc:identifier>
</oai_dc:dc>