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ASGSCA

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

Bioconductor version: 3.23 · Package version: 1.46.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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).

DOI: 10.18129/B9.bioc.ASGSCA

Installation

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

BiocManager::install("ASGSCA")

Details

MaintainerHela Romdhani <hela.romdhani@mcgill.ca>
AuthorHela Romdhani, Stepan Grinek , Heungsun Hwang and Aurelie Labbe.
LicenseGPL-3
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsSoftware, StructuralEquationModels
Package Short Url https://bioconductor.org/packages/ASGSCA/

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.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageASGSCA_1.46.0.tar.gz
Windows binary (x86_64)ASGSCA_1.46.0.zip
macOS binary (arm64)ASGSCA_1.46.0.tgz
macOS binary (x86_64)ASGSCA_1.46.0.tgz
Dependencies

Imports: Matrix, MASS

Suggests: BiocStyle