ASGSCA

This is the released version of ASGSCA; for the devel version, see ASGSCA.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

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

Bioconductor version: Release (3.23)

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")):

Hela Romdhani, Stepan Grinek, Heungsun Hwang and Aurelie Labbe. ASGSCA: Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models. doi:10.18129/B9.bioc.ASGSCA, R package version 1.46.0, https://bioconductor.org/packages/ASGSCA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Software, StructuralEquationModels
Version	1.46.0
In Bioconductor since	BioC 3.0 (R-3.1) (12 years)
License	GPL-3
Depends
Imports	Matrix, MASS
System Requirements
URL

Suggests	BiocStyle
Linking To
Enhances
Depends On Me
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Build Report	Build Report, r-universe

Package Archives

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

Source Package	ASGSCA_1.46.0.tar.gz
Windows Binary (x86_64)	ASGSCA_1.46.0.zip
macOS Binary (big-sur-x86_64)	ASGSCA_1.46.0.tgz
macOS Binary (sonoma-arm64)	ASGSCA_1.46.0.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