<?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>estellad.r-universe.dev</title><link>https://estellad.r-universe.dev</link><description>Recent package updates in estellad</description><generator>R-universe</generator><image><url>https://github.com/estellad.png</url><title>R packages by estellad</title><link>https://estellad.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:04:31 GMT</lastBuildDate><item><title>[bioc] OSTA.data 1.5.0</title><author>estelladong729@gmail.com (Yixing E. Dong)</author><description>'OSTA.data' is a companion package for the &quot;Orchestrating
Spatial Transcriptomics Analysis&quot; (OSTA) with Bioconductor
online book. Throughout OSTA, we rely on a set of publicly
available datasets that cover different sequencing- and
imaging-based platforms, such as Visium, Visium HD, Xenium (10x
Genomics) and CosMx (NanoString). In addition, we rely on
scRNA-seq (Chromium) data for tasks, e.g., spot deconvolution
and label transfer (i.e., supervised clustering). These data
been deposited in an Open Storage Framework (OSF) repository,
and can be queried and downloaded using functions from the
'osfr' package. For convenience, we have implemented
'OSTA.data' to query and retrieve data from our OSF node, and
cache retrieved Zip archives using 'BiocFileCache'.</description><link>https://github.com/r-universe/bioc/actions/runs/38406560393</link><pubDate>Tue, 28 Apr 2026 13:04:31 GMT</pubDate><r:package>OSTA.data</r:package><r:version>1.5.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/OSTA.data</r:upstream><r:article><r:source>OSTA.data.Rmd</r:source><r:filename>OSTA.data.html</r:filename><r:title>OSTA.data</r:title><r:created>2025-02-12 12:30:12</r:created><r:modified>2025-11-20 16:00:56</r:modified></r:article></item><item><title>[bioc] SpatialExperimentIO 1.5.0</title><author>estelladong729@gmail.com (Yixing E. Dong)</author><description>Read in imaging-based spatial transcriptomics technology
data. Current available modules are for Xenium by 10X Genomics,
CosMx by Nanostring, MERSCOPE by Vizgen, or STARmapPLUS from
Broad Institute. You can choose to read the data in as a
SpatialExperiment or a SingleCellExperiment object.</description><link>https://github.com/r-universe/bioc/actions/runs/36316555212</link><pubDate>Tue, 28 Apr 2026 13:04:18 GMT</pubDate><r:package>SpatialExperimentIO</r:package><r:version>1.5.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/SpatialExperimentIO</r:upstream><r:article><r:source>SpatialExperimentIO.Rmd</r:source><r:filename>SpatialExperimentIO.html</r:filename><r:title>SpatialExperimentIO - Data Reader Package Overview</r:title><r:created>2023-11-20 08:51:58</r:created><r:modified>2025-02-03 12:15:07</r:modified></r:article></item></channel></rss>