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ASGSCA

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


Bioconductor version: Release (3.18)

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 (version "4.3") and enter:


if (!require("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")
Association Studies using Generalized Structured Equation Models. PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Software, StructuralEquationModels
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-3
Depends
Imports Matrix, MASS
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Package Archives

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

Source Package ASGSCA_1.36.0.tar.gz
Windows Binary ASGSCA_1.36.0.zip
macOS Binary (x86_64) ASGSCA_1.36.0.tgz
macOS Binary (arm64) ASGSCA_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ASGSCA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ASGSCA
Bioc Package Browser https://code.bioconductor.org/browse/ASGSCA/
Package Short Url https://bioconductor.org/packages/ASGSCA/
Package Downloads Report Download Stats