<?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>lucp12891.r-universe.dev</title><link>https://lucp12891.r-universe.dev</link><description>Recent package updates in lucp12891</description><generator>R-universe</generator><image><url>https://github.com/lucp12891.png</url><title>R packages by lucp12891</title><link>https://lucp12891.r-universe.dev</link></image><lastBuildDate>Tue, 15 Sep 2026 11:18:07 GMT</lastBuildDate><item><title>[lucp12891] MosaiClusteR 0.1.0</title><author>bernard.osangir@sckcen.be (Bernard Isekah Osangir)</author><description>An umbrella framework (&quot;MoSaIC&quot; = Multi-Omics
Source-Agnostic Integration Clustering in R) that unifies a
large collection of multi-source / multi-omics clustering
methodologies behind a single, consistent list-of-matrices
interface. It spans five integration paradigms - direct,
similarity-based, graph-based, voting-based consensus, and
hierarchy-based - and bundles a complete downstream workflow
for method comparison and evaluation. The package features the
multi-source the ability to compare many algorithms on the same
footing, a data-nugget based feature-weighting scheme as a
robust, big-data-friendly alternative to variance weighting,
and a downstream suite for cluster characterisation,
visualisation and biological interpretation.</description><link>https://github.com/r-universe/lucp12891/actions/runs/34979635488</link><pubDate>Tue, 15 Sep 2026 11:18:07 GMT</pubDate><r:package>MosaiClusteR</r:package><r:version>0.1.0</r:version><r:status>failure</r:status><r:repository>https://lucp12891.r-universe.dev</r:repository><r:upstream>https://github.com/lucp12891/mosaicluster</r:upstream></item></channel></rss>