<?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>normanlabucd.r-universe.dev</title><link>https://normanlabucd.r-universe.dev</link><description>Recent package updates in normanlabucd</description><generator>R-universe</generator><image><url>https://github.com/normanlabucd.png</url><title>R packages by normanlabucd</title><link>https://normanlabucd.r-universe.dev</link></image><lastBuildDate>Thu, 18 Jun 2026 16:41:29 GMT</lastBuildDate><item><title>[normanlabucd] PONG2 1.0.1</title><author>suraju.sadeeq@cuanschutz.edu (Suraju A. Sadeeq)</author><description>A scalable and accurate tool for Killer-cell
Immunoglobulin-like Receptor (KIR) genotype imputation directly
from SNP array data using supervised machine learning models
trained across five continental ancestry groups. Uses attribute
bagging and an ensemble classifier method with haplotype
inference for SNPs and KIR types. Models are built from global
populations in the 1000 Genomes Project and validated across
diverse biobank cohorts. Methods are based on Zheng et al.
(2014) &lt;doi:10.1016/j.ajhg.2013.12.015&gt; and Sadeeq et al.
(2026) &lt;https://github.com/NormanLabUCD/PONG2&gt;.</description><link>https://github.com/r-universe/normanlabucd/actions/runs/28156509107</link><pubDate>Thu, 18 Jun 2026 16:41:29 GMT</pubDate><r:package>PONG2</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://normanlabucd.r-universe.dev</r:repository><r:upstream>https://github.com/normanlabucd/pong2</r:upstream><r:article><r:source>PONG2-basics.Rmd</r:source><r:filename>PONG2-basics.html</r:filename><r:title>PONG2 Basics: Installation, Quick Start, and Core Usage</r:title><r:created>2026-02-19 19:15:55</r:created><r:modified>2026-06-17 17:52:27</r:modified></r:article><r:article><r:source>PONG2-imputation.Rmd</r:source><r:filename>PONG2-imputation.html</r:filename><r:title>PONG2 Imputation Workflow</r:title><r:created>2026-02-19 19:15:55</r:created><r:modified>2026-06-17 17:52:27</r:modified></r:article><r:article><r:source>PONG2-R-api.Rmd</r:source><r:filename>PONG2-R-api.html</r:filename><r:title>PONG2 R API: Direct R Usage with Example Data</r:title><r:created>2026-06-17 17:52:27</r:created><r:modified>2026-06-17 17:52:27</r:modified></r:article><r:article><r:source>PONG2-training.Rmd</r:source><r:filename>PONG2-training.html</r:filename><r:title>PONG2 Training: Building Custom KIR Prediction Models</r:title><r:created>2026-02-19 19:15:55</r:created><r:modified>2026-06-17 17:52:27</r:modified></r:article></item></channel></rss>