genphen

DOI: 10.18129/B9.bioc.genphen    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see genphen.

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

Bioconductor version: 3.7

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.

Author: Simo Kitanovski

Maintainer: Simo Kitanovski <simo.kitanovski at uni-due.de>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("genphen")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("genphen")

 

PDF	R Script	genphen overview
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, Classification, FeatureExtraction, Genetics, GenomeWideAssociation, Regression, SequenceMatching, Sequencing, Software, SupportVectorMachine
Version	1.8.0
In Bioconductor since	BioC 3.3 (R-3.3) (2.5 years)
License	GPL (>= 2)
Depends	R (>= 3.4), stats, graphics, e1071, Biostrings, rstan, ranger, parallel, foreach, doParallel
Imports
LinkingTo
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URL
Depends On Me
Imports Me
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	genphen_1.8.0.tar.gz
Windows Binary	genphen_1.8.0.zip
Mac OS X 10.11 (El Capitan)	genphen_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/genphen
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/genphen
Package Short Url	http://bioconductor.org/packages/genphen/
Package Downloads Report	Download Stats