ASGSCA

DOI: 10.18129/B9.bioc.ASGSCA    

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

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ASGSCA")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.26.0
In Bioconductor since	BioC 3.0 (R-3.1) (7 years)
License	GPL-3
Depends
Imports	Matrix, MASS
LinkingTo
Suggests	BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	matrixpls
Links To Me
Build Report

Package Archives

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

Source Package	ASGSCA_1.26.0.tar.gz
Windows Binary	ASGSCA_1.26.0.zip
macOS 10.13 (High Sierra)	ASGSCA_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ASGSCA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ASGSCA
Package Short Url	https://bioconductor.org/packages/ASGSCA/
Package Downloads Report	Download Stats