<?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>george-hall-ucl.r-universe.dev</title><link>https://george-hall-ucl.r-universe.dev</link><description>Recent package updates in george-hall-ucl</description><generator>R-universe</generator><image><url>https://github.com/george-hall-ucl.png</url><title>R packages by george-hall-ucl</title><link>https://george-hall-ucl.r-universe.dev</link></image><lastBuildDate>Mon, 28 Sep 2026 16:13:51 GMT</lastBuildDate><item><title>[george-hall-ucl] dawnn 2.2.0</title><author>george.hall@ucl.ac.uk (George Hall)</author><description>Detects regions of differential abundance in single-cell
transcriptomic data by applying a pre-trained neural network
model to the labels of each cell's nearest neighbours. Tests
for both local and global differential abundance, controlling
the false discovery rate with the Benjamini-Yekutieli
procedure. The method is described in Hall and Castellano
(2023) &lt;doi:10.1101/2023.05.05.539427&gt;.</description><link>https://github.com/r-universe/george-hall-ucl/actions/runs/36451330988</link><pubDate>Mon, 28 Sep 2026 16:13:51 GMT</pubDate><r:package>dawnn</r:package><r:version>2.2.0</r:version><r:status>success</r:status><r:repository>https://george-hall-ucl.r-universe.dev</r:repository><r:upstream>https://github.com/george-hall-ucl/dawnn</r:upstream><r:article><r:source>dawnn.Rmd</r:source><r:filename>dawnn.html</r:filename><r:title>Dawnn vignette</r:title><r:created>2023-03-30 11:19:18</r:created><r:modified>2026-09-28 16:13:51</r:modified></r:article></item></channel></rss>