<?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>rubd.r-universe.dev</title><link>https://rubd.r-universe.dev</link><description>Recent package updates in rubd</description><generator>R-universe</generator><image><url>https://github.com/rubd.png</url><title>R packages by rubd</title><link>https://rubd.r-universe.dev</link></image><lastBuildDate>Thu, 22 Oct 2026 16:05:44 GMT</lastBuildDate><item><title>[giotto-suite] GiottoUtils 0.2.9</title><author>rubendries@gmail.com (Ruben Dries)</author><description>Utility functions and imports for Giotto Suite.</description><link>https://github.com/r-universe/giotto-suite/actions/runs/39813122540</link><pubDate>Thu, 22 Oct 2026 16:05:44 GMT</pubDate><r:package>GiottoUtils</r:package><r:version>0.2.9</r:version><r:status>success</r:status><r:repository>https://giotto-suite.r-universe.dev</r:repository><r:upstream>https://github.com/giotto-suite/GiottoUtils</r:upstream><r:article><r:source>print_formatting.Rmd</r:source><r:filename>print_formatting.html</r:filename><r:title>Console Printing</r:title><r:created>2023-12-18 08:05:14</r:created><r:modified>2025-05-06 15:16:24</r:modified></r:article></item><item><title>[drieslab] smotifrs 0.2.0</title><author>rdries@bu.edu (Ruben Dries)</author><description>Drop-in Rust acceleration for the smotif R package:
parallel enumeration of size-2 / size-3 / size-4 multi-cellular
motifs in spatial omics graphs, plus direct parquet I/O for
million-cell datasets. Distributed as pre-compiled binaries via
R-universe.</description><link>https://github.com/r-universe/drieslab/actions/runs/39322681754</link><pubDate>Mon, 19 Oct 2026 20:49:57 GMT</pubDate><r:package>smotifrs</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://drieslab.r-universe.dev</r:repository><r:upstream>https://github.com/drieslab/smotifrs</r:upstream><r:article><r:source>rust-backend.Rmd</r:source><r:filename>rust-backend.html</r:filename><r:title>Scaling smotif with smotifrs (Rust backend)</r:title><r:created>2026-05-15 01:18:12</r:created><r:modified>2026-10-19 15:40:07</r:modified></r:article></item><item><title>[drieslab] smotif 0.2.0</title><author>rdries@bu.edu (Ruben Dries)</author><description>Discovery and statistical evaluation of recurrent
multi-cellular motifs (size 2, 3, and 4) in spatial omics data.
Provides a lightweight 'SpatialGraph' representation backed by
parquet, enumeration over igraph, spatially-aware null models,
motif-to-gene association, and cross-region or cross-sample
comparison. Designed to be framework-agnostic so that the core
can be folded into Giotto Suite later.</description><link>https://github.com/r-universe/drieslab/actions/runs/39296283303</link><pubDate>Mon, 19 Oct 2026 15:42:33 GMT</pubDate><r:package>smotif</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://drieslab.r-universe.dev</r:repository><r:upstream>https://github.com/drieslab/smotif</r:upstream><r:article><r:source>smotif.Rmd</r:source><r:filename>smotif.html</r:filename><r:title>Spatial multi-cellular motifs with smotif</r:title><r:created>2026-05-15 01:15:49</r:created><r:modified>2026-05-15 01:15:49</r:modified></r:article></item><item><title>[drieslab] spatialDWLS 0.1.1</title><author>rubendries@gmail.com (Ruben Dries)</author><description>Estimates the cell type composition of each spot of a
spatial transcriptomics experiment from a single-cell
reference, following spatialDWLS (Dong and Yuan 2021,
&lt;doi:10.1186/s13059-021-02362-7&gt;), which builds on dampened
weighted least squares (DWLS; Tsoucas et al. 2019,
&lt;doi:10.1038/s41467-019-10802-z&gt;). Spots are solved in two
rounds: candidate cell types are chosen per cluster by
enrichment, then each spot is re-solved against the types
present in it. Works on dense or sparse matrices, in parallel
through 'BiocParallel', and over windows of spots for
expression stores that do not fit in memory.</description><link>https://github.com/r-universe/drieslab/actions/runs/38941369025</link><pubDate>Fri, 16 Oct 2026 14:36:46 GMT</pubDate><r:package>spatialDWLS</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://drieslab.r-universe.dev</r:repository><r:upstream>https://github.com/drieslab/spatialDWLS</r:upstream><r:article><r:source>spatialDWLS.Rmd</r:source><r:filename>spatialDWLS.html</r:filename><r:title>Get started with spatialDWLS</r:title><r:created>2026-10-15 19:51:42</r:created><r:modified>2026-10-15 19:51:42</r:modified></r:article></item></channel></rss>