<?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>fanding-zhou.r-universe.dev</title><link>https://fanding-zhou.r-universe.dev</link><description>Recent package updates in fanding-zhou</description><generator>R-universe</generator><image><url>https://github.com/fanding-zhou.png</url><title>R packages by fanding-zhou</title><link>https://fanding-zhou.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:05:01 GMT</lastBuildDate><item><title>[bioc] QRscore 1.5.0</title><author>zhoufd@berkeley.edu (Fanding Zhou)</author><description>In genomics, differential analysis enables the discovery
of groups of genes implicating important biological processes
such as cell differentiation and aging. Non-parametric tests of
differential gene expression usually detect shifts in
centrality (such as mean or median), and therefore suffer from
diminished power against alternative hypotheses characterized
by shifts in spread (such as variance). This package provides a
flexible family of non-parametric two-sample tests and K-sample
tests, which is based on theoretical work around non-parametric
tests, spacing statistics and local asymptotic normality
(Erdmann-Pham et al., 2022+ [arXiv:2008.06664v2]; Erdmann-Pham,
2023+ [arXiv:2209.14235v2]).</description><link>https://github.com/r-universe/bioc/actions/runs/37777111890</link><pubDate>Tue, 28 Apr 2026 13:05:01 GMT</pubDate><r:package>QRscore</r:package><r:version>1.5.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/QRscore</r:upstream></item></channel></rss>