HIBAG
This is the released version of HIBAG; for the devel version, see HIBAG.
HLA Genotype Imputation with Attribute Bagging
Bioconductor version: Release (3.23)
Imputes HLA classical alleles using GWAS SNP data, and it relies on a training set of HLA and SNP genotypes. HIBAG can be used by researchers with published parameter estimates instead of requiring access to large training sample datasets. It combines the concepts of attribute bagging, an ensemble classifier method, with haplotype inference for SNPs and HLA types. Attribute bagging is a technique which improves the accuracy and stability of classifier ensembles using bootstrap aggregating and random variable selection.
Author: Xiuwen Zheng [aut, cre, cph] 
, Bruce Weir [ctb, ths]
Maintainer: Xiuwen Zheng <zhengx at u.washington.edu>
citation("HIBAG")):Xiuwen Zheng. HIBAG: HLA Genotype Imputation with Attribute Bagging. doi:10.18129/B9.bioc.HIBAG, R package version 1.48.2, https://bioconductor.org/packages/HIBAG.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HIBAG")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HIBAG")| HIBAG vignette html | HTML | R Script |
| HLA association vignette html | HTML | R Script |
| HIBAG algorithm implementation | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Genetics, Software, StatisticalMethod |
| Version | 1.48.2 |
| In Bioconductor since | BioC 3.1 (R-3.2) (11.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.2.0) |
| Imports | methods, RcppParallel |
| System Requirements | GNU make |
| URL | https://github.com/zhengxwen/HIBAG https://hibag.s3.amazonaws.com/index.html |
See More
| Suggests | parallel, ggplot2, reshape2, gdsfmt, SNPRelate, SeqArray (>= 1.20.0), knitr, markdown, rmarkdown, Rsamtools |
| Linking To | RcppParallel (>= 5.0.0) |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | PONG2 |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | HIBAG_1.48.2.tar.gz |
| Windows Binary (x86_64) | HIBAG_1.48.2.zip |
| macOS Binary (big-sur-x86_64) | HIBAG_1.48.2.tgz |
| macOS Binary (sonoma-arm64) | HIBAG_1.48.2.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/HIBAG |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HIBAG |
| Package Short Url | https://bioconductor.org/packages/HIBAG/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.23 | Source Archive |