To install this package, start R and enter:

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

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

ASGSCA

 

   

Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models

Bioconductor version: Release (3.3)

The package provides tools to model and test the association between multiple genotypes and multiple traits, taking into account the prior biological knowledge. Genes, and clinical pathways are incorporated in the model as latent variables. The method is based on Generalized Structured Component Analysis (GSCA).

Author: Hela Romdhani, Stepan Grinek , Heungsun Hwang and Aurelie Labbe.

Maintainer: Hela Romdhani <hela.romdhani at mcgill.ca>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ASGSCA")

 

PDF R Script Association Studies using Generalized Structured Equation Models.
PDF   Reference Manual
Text   NEWS

Details

biocViews Software, StructuralEquationModels
Version 1.6.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL-3
Depends
Imports Matrix, MASS
LinkingTo
Suggests BiocStyle
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 ASGSCA_1.6.0.tar.gz
Windows Binary ASGSCA_1.6.0.zip
Mac OS X 10.9 (Mavericks) ASGSCA_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ASGSCA/tree/release-3.3
Package Short Url http://bioconductor.org/packages/ASGSCA/
Package Downloads Report Download Stats

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