<?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>afeefa-zainab.r-universe.dev</title><link>https://afeefa-zainab.r-universe.dev</link><description>Recent package updates in afeefa-zainab</description><generator>R-universe</generator><image><url>https://github.com/afeefa-zainab.png</url><title>R packages by afeefa-zainab</title><link>https://afeefa-zainab.r-universe.dev</link></image><lastBuildDate>Wed, 17 Dec 2025 06:21:45 GMT</lastBuildDate><item><title>[afeefa-zainab] oCELLoc 1.0.0</title><author>afeeffazainab@gmail.com (Afeefa Zainab)</author><description>Picks the suitable cell types in spatial and scRNA-seq
data using shrinkage methods. The package includes curated
reference gene expression profiles for human and mouse cell
types, facilitating immediate application to common spatial
transcriptomics or scRNA datasets. Additionally, users can
input custom reference data to support tissue- or
experiment-specific analyses.</description><link>https://github.com/r-universe/afeefa-zainab/actions/runs/27897420369</link><pubDate>Wed, 17 Dec 2025 06:21:45 GMT</pubDate><r:package>oCELLoc</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://afeefa-zainab.r-universe.dev</r:repository><r:upstream>https://github.com/afeefa-zainab/ocelloc</r:upstream></item></channel></rss>