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PONG2  

KIR Genotype Imputation and Model Training from SNP Array Data
View on CRAN: Click here


Download and install PONG2 package within the R console
Install from CRAN:
install.packages("PONG2")

Install from Github:
library("remotes")
install_github("cran/PONG2")

Install by package version:
library("remotes")
install_version("PONG2", "1.0.1")



Attach the package and use:
library("PONG2")
Maintained by
Suraju A. Sadeeq
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
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) <doi:10.1016/j.ajhg.2013.12.015> and Sadeeq et al. (2026) <https://github.com/NormanLabUCD/PONG2>.
How to cite:
Suraju A. Sadeeq (2026). PONG2: KIR Genotype Imputation and Model Training from SNP Array Data. R package version 1.0.1, https://cran.r-project.org/web/packages/PONG2. Accessed 14 Jul. 2026.
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Complete documentation for PONG2
Functions, R codes and Examples using the PONG2 R package
Full PONG2 package functions and examples
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