<?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>sgosline.r-universe.dev</title><link>https://sgosline.r-universe.dev</link><description>Recent package updates in sgosline</description><generator>R-universe</generator><image><url>https://github.com/sgosline.png</url><title>R packages by sgosline</title><link>https://sgosline.r-universe.dev</link></image><lastBuildDate>Thu, 24 Sep 2026 17:42:52 GMT</lastBuildDate><item><title>[bioc] leapR 1.1.2</title><author>sara.gosline@pnnl.gov (Sara Gosline)</author><description>leapR is a package that identifies pathways that are
enriched across diverse 'omics experiments. It leverages any
tabular expression data (proteomics, transcriptomics) using the
`SummarizedExperiment` object. It works with any pathway in the
.gct file format.</description><link>https://github.com/r-universe/bioc/actions/runs/36068092495</link><pubDate>Thu, 24 Sep 2026 17:42:52 GMT</pubDate><r:package>leapR</r:package><r:version>1.1.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/leapR</r:upstream><r:article><r:source>examples.Rmd</r:source><r:filename>examples.html</r:filename><r:title>leapR Paper Examples</r:title><r:created>2026-02-12 18:15:30</r:created><r:modified>2026-03-11 19:51:28</r:modified></r:article><r:article><r:source>leapR.Rmd</r:source><r:filename>leapR.html</r:filename><r:title>leapR</r:title><r:created>2022-01-19 06:21:35</r:created><r:modified>2026-06-10 22:01:56</r:modified></r:article><r:article><r:source>order-enrichment.Rmd</r:source><r:filename>order-enrichment.html</r:filename><r:title>leapR Order Enrichment Tests</r:title><r:created>2026-03-10 22:43:28</r:created><r:modified>2026-06-10 22:01:56</r:modified></r:article></item><item><title>[bioc] spammR 0.99.26</title><author>sara.gosline@pnnl.gov (Sara Gosline)</author><description>SpammR provides a suite of tools and a data structure to
analyze diverse multiomics measurements in a spatial context.
It enables the analysis and visualization of omics measurements
paired with a specific image, each with spatial coordinates.</description><link>https://github.com/r-universe/bioc/actions/runs/37075957272</link><pubDate>Fri, 04 Sep 2026 15:54:58 GMT</pubDate><r:package>spammR</r:package><r:version>0.99.26</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/spammR</r:upstream><r:article><r:source>lipidProt.Rmd</r:source><r:filename>lipidProt.html</r:filename><r:title>spammR lipidomic and proteomic integration</r:title><r:created>2025-11-13 23:01:53</r:created><r:modified>2026-09-03 18:57:06</r:modified></r:article><r:article><r:source>spatMicrobiome.Rmd</r:source><r:filename>spatMicrobiome.html</r:filename><r:title>spammR microbiome evaluation</r:title><r:created>2025-08-26 22:18:50</r:created><r:modified>2026-09-03 18:57:06</r:modified></r:article><r:article><r:source>spatProt.Rmd</r:source><r:filename>spatProt.html</r:filename><r:title>spammR Spatial Proteomics Example</r:title><r:created>2025-03-18 22:36:35</r:created><r:modified>2026-09-03 17:22:05</r:modified></r:article></item></channel></rss>