<?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>ryxf.r-universe.dev</title><link>https://ryxf.r-universe.dev</link><description>Recent package updates in ryxf</description><generator>R-universe</generator><image><url>https://github.com/ryxf.png</url><title>R packages by ryxf</title><link>https://ryxf.r-universe.dev</link></image><lastBuildDate>Wed, 27 May 2026 19:50:27 GMT</lastBuildDate><item><title>[ryxf] CellWindX 1.0.0</title><author>youngxf02@163.com (Xiaofeng Yang)</author><description>Provides a 'Seurat'-compatible toolkit for marker gene
identification, expression summarization, and visualization of
annotated single-cell transcriptomic data. 'CellWindX'
identifies top cell-type-enriched markers, calculates marker
expression percentages and average expression values across
cell groups, and generates publication-oriented dimensional
reduction plots, marker heatmaps, and gene-level radar plots.
The package includes built-in aesthetic palettes and supports
both exploratory analysis and downstream figure preparation for
single-cell atlas studies. The workflow is designed to
complement single-cell analysis frameworks such as 'Seurat'
described by Satija et al. (2015) &lt;doi:10.1038/nbt.3192&gt; and
Hao et al. (2021) &lt;doi:10.1016/j.cell.2021.04.048&gt;, as well as
heatmap visualization methods implemented in 'ComplexHeatmap'
described by Gu et al. (2016)
&lt;doi:10.1093/bioinformatics/btw313&gt;.</description><link>https://github.com/r-universe/ryxf/actions/runs/26563003736</link><pubDate>Wed, 27 May 2026 19:50:27 GMT</pubDate><r:package>CellWindX</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://ryxf.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CellWindX</r:upstream></item></channel></rss>