genphen: A tool for quantification of associations between genotypes and phenotypes with Bayesian inference and statistical learning techniques
Version 1.8.0

Genetic association studies are an essential tool for studying the relationship between genotypes and phenotypes and thus for the discovery of disease-causing genetic variants. With genphen we propose a new method for conducting genetic association studies, using a combined approach which is based on both Bayesian inference and statistical learning techniques such as random forest and support vector machines.

Package details

AuthorSimo Kitanovski
Bioconductor views Bayesian Classification FeatureExtraction Genetics GenomeWideAssociation Regression SequenceMatching Sequencing SupportVectorMachine
MaintainerSimo Kitanovski <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
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genphen documentation built on May 2, 2018, 2:53 a.m.