<?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>laleoarrow.r-universe.dev</title><link>https://laleoarrow.r-universe.dev</link><description>Recent package updates in laleoarrow</description><generator>R-universe</generator><image><url>https://github.com/laleoarrow.png</url><title>R packages by laleoarrow</title><link>https://laleoarrow.r-universe.dev</link></image><lastBuildDate>Sun, 07 Jun 2026 06:36:52 GMT</lastBuildDate><item><title>[laleoarrow] TwoSampleMR 0.7.7</title><author>g.hemani@bristol.ac.uk (Gibran Hemani)</author><description>A package for performing Mendelian randomization using
GWAS summary data. It uses the IEU OpenGWAS database
&lt;https://opengwas.io&gt; to automatically obtain data, and a wide
range of methods to run the analysis.</description><link>https://github.com/r-universe/laleoarrow/actions/runs/27085961735</link><pubDate>Sun, 07 Jun 2026 06:36:52 GMT</pubDate><r:package>TwoSampleMR</r:package><r:version>0.7.7</r:version><r:status>success</r:status><r:repository>https://laleoarrow.r-universe.dev</r:repository><r:upstream>https://github.com/MRCIEU/TwoSampleMR</r:upstream><r:article><r:source>exposure.Rmd</r:source><r:filename>exposure.html</r:filename><r:title>Exposure data</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2026-05-15 15:05:51</r:modified></r:article><r:article><r:source>harmonise.Rmd</r:source><r:filename>harmonise.html</r:filename><r:title>Harmonise data</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2025-08-27 10:42:11</r:modified></r:article><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2026-05-15 15:05:51</r:modified></r:article><r:article><r:source>gwas2020.Rmd</r:source><r:filename>gwas2020.html</r:filename><r:title>Major changes to the IEU GWAS resources for 2020</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2026-05-04 10:07:54</r:modified></r:article><r:article><r:source>outcome.Rmd</r:source><r:filename>outcome.html</r:filename><r:title>Outcome data</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2026-05-04 10:07:54</r:modified></r:article><r:article><r:source>perform_mr.Rmd</r:source><r:filename>perform_mr.html</r:filename><r:title>Perform MR</r:title><r:created>2020-01-11 20:36:35</r:created><r:modified>2026-06-07 06:36:52</r:modified></r:article></item><item><title>[laleoarrow] leo.basic 0.0.2</title><author>luao@stu.cqmu.edu.cn (Ao Lu)</author><description>Basic function for leo universe.</description><link>https://github.com/r-universe/laleoarrow/actions/runs/26112224860</link><pubDate>Tue, 19 May 2026 16:05:14 GMT</pubDate><r:package>leo.basic</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://laleoarrow.r-universe.dev</r:repository><r:upstream>https://github.com/laleoarrow/leo.basic</r:upstream></item><item><title>[laleoarrow] leo.gwas 0.0.2</title><author>luao@stu.cqmu.edu.cn (Ao Lu)</author><description>Although in early development, the Layered Exploratory
Omics (LEO) is a tool specifically designed for deep analysis
of genomic data. It employs a multi-layered exploratory
approach to help researchers uncover the complex biological
information hidden behind their data.</description><link>https://github.com/r-universe/laleoarrow/actions/runs/27086240855</link><pubDate>Sun, 15 Mar 2026 09:04:55 GMT</pubDate><r:package>leo.gwas</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://laleoarrow.r-universe.dev</r:repository><r:upstream>https://github.com/laleoarrow/leo.gwas</r:upstream><r:article><r:source>installation.Rmd</r:source><r:filename>installation.html</r:filename><r:title>Installation Tutorial</r:title><r:created>2026-02-07 16:48:12</r:created><r:modified>2026-02-07 17:19:58</r:modified></r:article></item><item><title>[laleoarrow] leo.sc 0.1.0</title><author>luao@stu.cqmu.edu.cn (Ao Lu)</author><description>LEO for single-cell analysis. This package provides useful
functions for single-cell analysis workflow.</description><link>https://github.com/r-universe/laleoarrow/actions/runs/26112948453</link><pubDate>Wed, 04 Mar 2026 05:03:03 GMT</pubDate><r:package>leo.sc</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://laleoarrow.r-universe.dev</r:repository><r:upstream>https://github.com/laleoarrow/leo.sc</r:upstream><r:article><r:source>tutorial-sko.Rmd</r:source><r:filename>tutorial-sko.html</r:filename><r:title>Functional Inference Pipeline (FIP) DEMO</r:title><r:created>2026-03-02 12:07:43</r:created><r:modified>2026-03-03 12:10:17</r:modified></r:article><r:article><r:source>installation.Rmd</r:source><r:filename>installation.html</r:filename><r:title>Installation Guide</r:title><r:created>2026-03-03 11:11:04</r:created><r:modified>2026-03-03 12:10:17</r:modified></r:article></item><item><title>[laleoarrow] annotables 0.2.0</title><author>vustephen@gmail.com (Stephen Turner)</author><description>Provides tables for converting and annotating Ensembl Gene
IDs.</description><link>https://github.com/r-universe/laleoarrow/actions/runs/27123885702</link><pubDate>Sun, 06 Jul 2025 22:12:12 GMT</pubDate><r:package>annotables</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://laleoarrow.r-universe.dev</r:repository><r:upstream>https://github.com/stephenturner/annotables</r:upstream></item></channel></rss>