<?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>Single Cell Cluster-Based Annotation Toolkit for Cellular
Heterogeneity</dc:title>
  <dc:title>R package scCATCH version 3.2.2</dc:title>
  <dc:description>An automatic cluster-based annotation pipeline based on evidence-based score by matching the marker genes with known cell markers in tissue-specific cell taxonomy reference database for single-cell RNA-seq data. See Shao X, et al (2020) &lt;doi:10.1016/j.isci.2020.100882&gt; for more details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: Matrix, methods, progress, stats, reshape2</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr, testthat, prettydoc</dc:relation>
  <dc:creator>Xin Shao&lt;xin_shao@zju.edu.cn&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Xin Shao</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-04-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=scCATCH</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.scCATCH</dc:identifier>
</oai_dc:dc>