<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>ytwangzero.r-universe.dev</title><link>https://ytwangzero.r-universe.dev</link><description>Recent package updates in ytwangzero</description><generator>R-universe</generator><image><url>https://github.com/ytwangzero.png</url><title>R packages by ytwangzero</title><link>https://ytwangzero.r-universe.dev</link></image><lastBuildDate>Thu, 20 Aug 2026 02:15:48 GMT</lastBuildDate><item><title>[ytwangzero] easyEWAS 1.0.1</title><author>ytwang@pku.edu.cn (Yuting Wang)</author><description>Tools for conducting epigenome-wide association studies
(EWAS) and visualizing results. Users provide sample metadata
and methylation matrices to run EWAS with linear models, linear
mixed-effects models, or Cox models. The package supports
downstream visualization, bootstrap validation, enrichment
analysis, batch effect correction, and differentially
methylated region (DMR) analysis with optional parallel
computing. Methods are described in Wang et al. (2025)
&lt;doi:10.1093/bioadv/vbaf026&gt;, Johnson et al. (2007)
&lt;doi:10.1093/biostatistics/kxj037&gt;, and Peters et al. (2015)
&lt;doi:10.1186/1756-8935-8-6&gt;.</description><link>https://github.com/r-universe/ytwangzero/actions/runs/39216140273</link><pubDate>Thu, 20 Aug 2026 02:15:48 GMT</pubDate><r:package>easyEWAS</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://ytwangzero.r-universe.dev</r:repository><r:upstream>https://github.com/ytwangzero/easyewas</r:upstream></item></channel></rss>