HIBAG: HLA Genotype Imputation with Attribute Bagging

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.

Package details

AuthorXiuwen Zheng [aut, cre, cph] (<https://orcid.org/0000-0002-1390-0708>), Bruce Weir [ctb, ths] (<https://orcid.org/0000-0002-4883-1247>)
Bioconductor views Genetics StatisticalMethod
MaintainerXiuwen Zheng <zhengx@u.washington.edu>
URL http://github.com/zhengxwen/HIBAG https://hibag.s3.amazonaws.com/index.html http://www.biostat.washington.edu/~bsweir/HIBAG
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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HIBAG documentation built on March 24, 2021, 6 p.m.