<?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>yzhou1999.r-universe.dev</title><link>https://yzhou1999.r-universe.dev</link><description>Recent package updates in yzhou1999</description><generator>R-universe</generator><image><url>https://github.com/yzhou1999.png</url><title>R packages by yzhou1999</title><link>https://yzhou1999.r-universe.dev</link></image><lastBuildDate>Sat, 18 Oct 2025 02:31:17 GMT</lastBuildDate><item><title>[yzhou1999] GTEs 1.0.0</title><author>yangz@stu.hit.edu.cn (Yang Zhou)</author><description>Implementation of the GTE (Group Technical Effects) model
for single-cell data. GTE is a quantitative metric to assess
batch effects for individual genes in single-cell data. For a
single-cell dataset, the user can calculate the GTE value for
individual features (such as genes), and then identify the
highly batch-sensitive features. Removing these highly
batch-sensitive features results in datasets with low batch
effects.</description><link>https://github.com/r-universe/yzhou1999/actions/runs/25954125769</link><pubDate>Sat, 18 Oct 2025 02:31:17 GMT</pubDate><r:package>GTEs</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://yzhou1999.r-universe.dev</r:repository><r:upstream>https://github.com/yzhou1999/gtes</r:upstream></item></channel></rss>