<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>semi-parametric kernel-based approach to local fdr estimations</dc:title>
  <dc:description>semi-parametric kernel-based approaches to local fdr
estimations useful for the testing of multiple hypothesis (in
large-scale genetic, genomic and post-genomic studies for
instance).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.6.0)</dc:relation>
  <dc:creator>M Guedj &lt;mickael.guedj@gmail.com&gt;</dc:creator>
  <dc:contributor>M Guedj &lt;mickael.guedj@gmail.com&gt; and G Nuel
&lt;Gregory.Nuel@math-info.univ-paris5.fr&gt;, with contributions
from S Robin, A Celisse and ML Martin-Migniette.</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2011-08-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=kerfdr</dc:identifier>
 </rdf:Description>
</rdf:RDF>

