<?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>davidliwei.r-universe.dev</title><link>https://davidliwei.r-universe.dev</link><description>Recent package updates in davidliwei</description><generator>R-universe</generator><image><url>https://github.com/davidliwei.png</url><title>R packages by davidliwei</title><link>https://davidliwei.r-universe.dev</link></image><lastBuildDate>Fri, 10 Jul 2026 03:47:54 GMT</lastBuildDate><item><title>[biocstaging] scMAGeCK 0.99.1</title><author>li.david.wei@gmail.com (Wei Li)</author><description>scMAGeCK is a computational model to identify genes
associated with multiple expression phenotypes from CRISPR
screening coupled with single-cell RNA sequencing data (e.g.
CROP-seq, Perturb-seq). It provides two complementary modules:
a rank-based test (scMAGeCK-RRA) that links a perturbation to a
single marker or gene signature, and a linear-regression test
(scMAGeCK-LR) that estimates the effect of each perturbation on
the expression of all genes. The package also estimates
single-cell perturbation-response scores to capture
heterogeneous perturbation effects across individual cells.</description><link>https://github.com/r-universe/biocstaging/actions/runs/37601270960</link><pubDate>Fri, 10 Jul 2026 03:47:54 GMT</pubDate><r:package>scMAGeCK</r:package><r:version>0.99.1</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/scMAGeCK</r:upstream><r:article><r:source>scMAGeCK.Rmd</r:source><r:filename>scMAGeCK.html</r:filename><r:title>scMAGeCK</r:title><r:created>2019-10-23 17:00:44</r:created><r:modified>2026-07-10 03:47:54</r:modified></r:article></item></channel></rss>