ASGSCA
Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models
Bioconductor version: Release (3.20)
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("ASGSCA")):
Installation
To install this package, start R (version "4.4") 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. | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Software, StructuralEquationModels |
| Version | 1.40.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
| License | GPL-3 |
| Depends | |
| Imports | Matrix, MASS |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | ASGSCA_1.40.0.tar.gz |
| Windows Binary (x86_64) | ASGSCA_1.40.0.zip |
| macOS Binary (x86_64) | ASGSCA_1.40.0.tgz |
| macOS Binary (arm64) | ASGSCA_1.40.0.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 |