<?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>Hybrid Analysis of Population and Trio Data with Knockoff
Statistics for FDR Control</dc:title>
  <dc:title>R package KnockoffHybrid version 1.0.1</dc:title>
  <dc:description>Identification of putative causal variants in genome-wide association studies using hybrid analysis of both the trio and population designs. The package implements the method in the paper: Yang, Y., Wang, Q., Wang, C., Buxbaum, J., &amp; Ionita-Laza, I. (2024). KnockoffHybrid: A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies. The American Journal of Human Genetics, in press.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: glmnet, SPAtest</dc:relation>
  <dc:creator>Yi Yang &lt;yi.yang@cityu.edu.hk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yi Yang [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-1471-4026&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-06-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=KnockoffHybrid</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.KnockoffHybrid</dc:identifier>
</oai_dc:dc>
