Other packages > Find by keyword >

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 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited PONG2 R package
View PONG2 citation profile
Other R packages that PONG2 depends, imports, suggests or enhances
Complete documentation for PONG2
Functions, R codes and Examples using the PONG2 R package
Full PONG2 package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA