<?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>pratibhapanwar.r-universe.dev</title><link>https://pratibhapanwar.r-universe.dev</link><description>Recent package updates in pratibhapanwar</description><generator>R-universe</generator><image><url>https://github.com/pratibhapanwar.png</url><title>R packages by pratibhapanwar</title><link>https://pratibhapanwar.r-universe.dev</link></image><lastBuildDate>Wed, 09 Sep 2026 03:28:01 GMT</lastBuildDate><item><title>[bioc] clustSIGNAL 1.5.2</title><author>pratibhapanwar.4@gmail.com (Pratibha Panwar)</author><description>clustSIGNAL: clustering of Spatially Informed Gene
expression with Neighbourhood Adapted Learning. A tool for
adaptively smoothing and clustering gene expression data.
clustSIGNAL uses entropy to measure heterogeneity of cell
neighbourhoods and performs a weighted, adaptive smoothing,
where homogeneous neighbourhoods are smoothed more and
heterogeneous neighbourhoods are smoothed less. This not only
overcomes data sparsity but also incorporates spatial context
into the gene expression data. The resulting smoothed gene
expression data is used for clustering and could be used for
other downstream analyses.</description><link>https://github.com/r-universe/bioc/actions/runs/37918577237</link><pubDate>Wed, 09 Sep 2026 03:28:01 GMT</pubDate><r:package>clustSIGNAL</r:package><r:version>1.5.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/clustSIGNAL</r:upstream><r:article><r:source>clustSIGNAL.Rmd</r:source><r:filename>clustSIGNAL.html</r:filename><r:title>ClustSIGNAL tutorial</r:title><r:created>2024-06-11 08:06:13</r:created><r:modified>2026-09-09 03:28:01</r:modified></r:article></item></channel></rss>