<?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>alex05a.r-universe.dev</title><link>https://alex05a.r-universe.dev</link><description>Recent package updates in alex05a</description><generator>R-universe</generator><image><url>https://github.com/alex05a.png</url><title>R packages by alex05a</title><link>https://alex05a.r-universe.dev</link></image><lastBuildDate>Tue, 22 Sep 2026 01:42:01 GMT</lastBuildDate><item><title>[bioc] multipletR 0.99.9</title><author>alexandra.gerveni@hotmail.com (Alexandra Gerveni)</author><description>Detects human-mouse multiplets in patient-derived
xenograft (PDX) single-cell RNA-seq data using an adaptive
threshold method that does not assume a fixed species
proportion. Takes a 10x CellRanger GEM classification file and
returns the data with added multiplet classifications, with
optional diagnostic plots and helpers to annotate a Seurat or
SingleCellExperiment object with multiplet classifications or
remove multiplets from it. The adaptive approach starts from a
conservative central region of balanced droplets and expands
its thresholds until the selected cells no longer resemble true
multiplets, which handles the imbalanced species mixtures
common in real PDX samples.</description><link>https://github.com/r-universe/bioc/actions/runs/36795170481</link><pubDate>Tue, 22 Sep 2026 01:42:01 GMT</pubDate><r:package>multipletR</r:package><r:version>0.99.9</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/multipletR</r:upstream><r:article><r:source>multipletR-introduction.Rmd</r:source><r:filename>multipletR-introduction.html</r:filename><r:title>Detecting human-mouse multiplets in PDX single-cell data with multipletR</r:title><r:created>2026-07-11 19:02:05</r:created><r:modified>2026-09-20 21:05:14</r:modified></r:article></item></channel></rss>