<?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>justicego.r-universe.dev</title><link>https://justicego.r-universe.dev</link><description>Recent package updates in justicego</description><generator>R-universe</generator><image><url>https://github.com/justicego.png</url><title>R packages by justicego</title><link>https://justicego.r-universe.dev</link></image><lastBuildDate>Wed, 04 Feb 2026 09:00:31 GMT</lastBuildDate><item><title>[justicego] PopComm 1.0.1</title><author>gongzheng131@hotmail.com (Zheng Gong)</author><description>Facilitates population-level analysis of ligand-receptor
(LR) interactions using large-scale single-cell transcriptomic
data. Identifies significant LR pairs and quantifies their
interactions through correlation-based filtering and projection
score computations. Designed for large-sample single-cell
studies, the package employs statistical modeling, including
linear regression, to investigate LR relationships between cell
types. It provides a systematic framework for understanding
cell-cell communication, uncovering regulatory interactions and
signaling mechanisms. Offers tools for LR pair-level,
sample-level, and differential interaction analyses, with
comprehensive visualization support to aid biological
interpretation. The methodology is described in a manuscript
currently under review and will be referenced here once
published or publicly available.</description><link>https://github.com/r-universe/justicego/actions/runs/39917226705</link><pubDate>Wed, 04 Feb 2026 09:00:31 GMT</pubDate><r:package>PopComm</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://justicego.r-universe.dev</r:repository><r:upstream>https://github.com/justicego/popcomm</r:upstream></item></channel></rss>