<?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>hurlab.r-universe.dev</title><link>https://hurlab.r-universe.dev</link><description>Recent package updates in hurlab</description><generator>R-universe</generator><image><url>https://github.com/hurlab.png</url><title>R packages by hurlab</title><link>https://hurlab.r-universe.dev</link></image><lastBuildDate>Wed, 30 Sep 2026 22:21:18 GMT</lastBuildDate><item><title>[hurlab] richCluster 2.0.1</title><author>hurlabshared@gmail.com (Junguk Hur)</author><description>Clusters functionally related biological terms from gene
set enrichment results. Terms are compared by the overlap of
their gene sets using Cohen's kappa, the Jaccard index, or the
Dice coefficient, and the resulting similarity matrix is
grouped either by agglomerative hierarchical clustering with
single, complete, average, or Ward linkage, or by the
seed-and-merge procedure of the 'DAVID' functional
classification tool. The distance and clustering routines are
written in 'C++' for speed. The methods are described in Huang
et al. (2007) &lt;doi:10.1186/gb-2007-8-9-r183&gt;, Ward (1963)
&lt;doi:10.1080/01621459.1963.10500845&gt;, Cohen (1960)
&lt;doi:10.1177/001316446002000104&gt;, and Jaccard (1912)
&lt;doi:10.1111/j.1469-8137.1912.tb05611.x&gt;.</description><link>https://github.com/r-universe/hurlab/actions/runs/41180104207</link><pubDate>Wed, 30 Sep 2026 22:21:18 GMT</pubDate><r:package>richCluster</r:package><r:version>2.0.1</r:version><r:status>success</r:status><r:repository>https://hurlab.r-universe.dev</r:repository><r:upstream>https://github.com/hurlab/richcluster</r:upstream><r:article><r:source>workflow.Rmd</r:source><r:filename>workflow.html</r:filename><r:title>Workflow: richCluster Example</r:title><r:created>2026-09-30 22:21:18</r:created><r:modified>2026-09-30 22:21:18</r:modified></r:article></item></channel></rss>