To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

genphen

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see genphen.

A tool for computing genotype-phenotype associations using statistical learning techniques

Bioconductor version: 3.3

Given a set of genetic polymorphisms in the form of single nucleotide poylmorphisms or single amino acid polymorphisms and a corresponding phenotype data, often we are interested to quantify their association such that we can identify the causal polymorphisms. Using statistical learning techniques such as random forests and support vector machines, this tool provides the means to estimate genotype-phenotype associations. It also provides visualization functions which enable the user to visually inspect the results of such genetic association study and conveniently select the genotypes which have the highest strenght ofassociation with the phenotype.

Author: Simo Kitanovski

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

Citation (from within R, enter citation("genphen")):

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 Classification, Genetics, GenomeWideAssociation, Regression, SequenceMatching, Software, SupportVectorMachine
Version 1.0.0
In Bioconductor since BioC 3.3 (R-3.3) (< 6 months)
License GPL (>= 2)
Depends R (>= 3.3), randomForest, e1071, ggplot2, effsize, Biostrings
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source genphen_1.0.0.tar.gz
Windows Binary genphen_1.0.0.zip
Mac OS X 10.9 (Mavericks) genphen_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/genphen/tree/release-3.3
Package Short Url http://bioconductor.org/packages/genphen/
Package Downloads Report Download Stats

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