<?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>Isolation-Forest Based 'CNV' Detection from 'NGS' Data</dc:title>
  <dc:title>R package ifCNVR version 0.1.0</dc:title>
  <dc:description>Automatically detects Copy Number Variations (CNV) from Next Generation Sequencing data using a machine learning algorithm, Isolation forest. More details about the method can be found in the paper by Cabello-Aguilar (2022) &lt;doi:10.1101/2022.01.03.474771&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: data.table, rmarkdown, isotree</dc:relation>
  <dc:creator>Simon Cabello-Aguilar &lt;s-cabelloaguilar@chu-montpellier.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Simon Cabello-Aguilar [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-2904-7430&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-02-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ifCNVR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ifCNVR</dc:identifier>
</oai_dc:dc>