<?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>Differential Identification using Mixture Ensemble</dc:title>
  <dc:title>R package DIME version 1.3.0</dc:title>
  <dc:description>A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) 
    comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) 
    allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: 
    Taslim et al., (2011) &lt;doi:10.1093/bioinformatics/btr165&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Cenny Taslim &lt;taslim.2@osu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Cenny Taslim &lt;taslim.2@osu.edu&gt;, with contributions from  Dustin Potter, Abbasali Khalili and Shili Lin &lt;shili@stat.osu.edu&gt;. </dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2022-05-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=DIME</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.DIME</dc:identifier>
</oai_dc:dc>