<?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>Statistical Approach to Outlier Detection in RNA-Seq and Related
Data</dc:title>
  <dc:title>R package OutSeekR version 1.1.0</dc:title>
  <dc:subject>CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection)</dc:subject>
  <dc:description>An approach to outlier detection in RNA-seq and related data
    based on five statistics. 'OutSeekR' implements an outlier test by comparing
    the distributions of these statistics in observed data with those of
    simulated null data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: future, future.apply, lsa, mclust, truncnorm</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Paul Boutros &lt;pboutros@sbpdiscovery.org&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jee Yun Han [aut],
  John Sahrmann [aut],
  Jaron Arbet [ctb],
  Paul Boutros [aut, cre, cph]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-01-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OutSeekR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OutSeekR</dc:identifier>
</oai_dc:dc>
