genphen: A tool for quantification of associations between genotypes and phenotypes in genome wide association studies (GWAS) with Bayesian inference and statistical learning

Genetic association studies are an essential tool for studying the relationship between genotypes and phenotypes. With genphen we can jointly study multiple phenotypes of different types, by quantifying the association between different genotypes and each phenotype using a hybrid method which uses statistical learning techniques such as random forest and support vector machines, and Bayesian inference using hierarchical models.

Package details

AuthorSimo Kitanovski [aut, cre]
Bioconductor views Bayesian Classification FeatureExtraction Genetics GenomeWideAssociation Regression SequenceMatching Sequencing SupportVectorMachine
MaintainerSimo Kitanovski <simo.kitanovski@uni-due.de>
LicenseGPL (>= 2)
Version1.18.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("genphen")

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genphen documentation built on Nov. 8, 2020, 5:03 p.m.