PONG2
1.0.1KIR Genotype Imputation and Model Training from SNP Array Data
Overview
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) doi:10.1016/j.ajhg.2013.12.015 and Sadeeq et al. (2026) https://github.com/NormanLabUCD/PONG2.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-258 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Checks run against github.com/normanlabucd/pong2 on 2026-08-16.
Dependencies
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Code & Tests
People & History
1 release. R releases are shown for context.
- 1.0.1Latest2026-06-24 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-24
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 7.9 KB / 1 file
- Download size
- 130 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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