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)
Version1.8.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("genphen")

Try the genphen package in your browser

Any scripts or data that you put into this service are public.

genphen documentation built on May 2, 2018, 2:53 a.m.