<?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>moohtus.r-universe.dev</title><link>https://moohtus.r-universe.dev</link><description>Recent package updates in moohtus</description><generator>R-universe</generator><image><url>https://github.com/moohtus.png</url><title>R packages by moohtus</title><link>https://moohtus.r-universe.dev</link></image><lastBuildDate>Fri, 19 Jun 2026 07:04:32 GMT</lastBuildDate><item><title>[biocstaging] MOTL 0.99.1</title><author>morgane.terezol@univ-amu.fr (Morgane Térézol)</author><description>A transfer learning algorithm for multi-omics matrix
factorization called 'MOTL' (Multi-Omics Transfer Learning).
'MOTL' is a Bayesian transfer learning method, based on 'MOFA'.
'MOTL' infers latent factor values for a multi-omics target
dataset, consisting of a small number of samples, by
incorporating latent factor values already inferred with a
'MOFA' factorization of a large, heterogeneous, learning
dataset.</description><link>https://github.com/r-universe/biocstaging/actions/runs/35438735956</link><pubDate>Fri, 19 Jun 2026 07:04:32 GMT</pubDate><r:package>MOTL</r:package><r:version>0.99.1</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/MOTL</r:upstream><r:article><r:source>MOTL.Rmd</r:source><r:filename>MOTL.html</r:filename><r:title>How to run MOTL: basic example</r:title><r:created>2026-05-04 11:51:47</r:created><r:modified>2026-05-07 09:04:39</r:modified></r:article></item></channel></rss>