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.
|Bioconductor views||Bayesian Classification FeatureExtraction Genetics GenomeWideAssociation Regression SequenceMatching Sequencing SupportVectorMachine|
|Maintainer||Simo Kitanovski <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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