recipe bioconductor-hibag

It is a software package for imputing HLA types using SNP data, and 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.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/HIBAG.html

License

GPL-3

Recipe

/bioconductor-hibag/meta.yaml

Links

biotools: hibag

package bioconductor-hibag

(downloads) docker_bioconductor-hibag

Versions

1.20.0-1, 1.20.0-0, 1.18.1-0, 1.16.0-0, 1.14.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-hibag

and update with:

conda update bioconductor-hibag

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-hibag:<tag>

(see bioconductor-hibag/tags for valid values for <tag>)