HIBAG
HLA Genotype Imputation with Attribute Bagging
Bioconductor version: 3.23 · Package version: 1.48.1
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HIBAG") Details
| Maintainer | Xiuwen Zheng <zhengx@u.washington.edu> |
| Author | Xiuwen Zheng [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1390-0708>), Bruce Weir [ctb, ths] (ORCID: <https://orcid.org/0000-0002-4883-1247>) |
| License | GPL-3 |
| URL | https://github.com/zhengxwen/HIBAG, https://hibag.s3.amazonaws.com/index.html |
| System Requirements | GNU make |
| Downloads rank | 392 |
| Source branch | RELEASE_3_23 |
| biocViews | Genetics, Software, StatisticalMethod |
Documentation
- New Implementation of the HIBAG Algorithm with Latest Intel Intrinsics
- HIBAG -- an R Package for HLA Genotype Imputation with Attribute Bagging
- HIBAG -- an R Package for HLA Genotype Imputation with Attribute Bagging
Download
Dependencies
Depends: R (>= 3.2.0)
Imports: methods, RcppParallel
LinkingTo: RcppParallel (>= 5.0.0)
Suggests: parallel, ggplot2, reshape2, gdsfmt, SNPRelate, SeqArray, knitr, markdown, rmarkdown, Rsamtools
Reverse dependencies
Suggests Me (1): PONG2