To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ASGSCA")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ASGSCA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ASGSCA")
R Script | Association Studies using Generalized Structured Equation Models. | |
Reference Manual | ||
Text | NEWS |
biocViews | Software, StructuralEquationModels |
Version | 1.6.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (2 years) |
License | GPL-3 |
Depends | |
Imports | Matrix, MASS |
LinkingTo | |
Suggests | BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ASGSCA_1.6.0.tar.gz |
Windows Binary | ASGSCA_1.6.0.zip |
Mac OS X 10.9 (Mavericks) | ASGSCA_1.6.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ASGSCA/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/ASGSCA/ |
Package Downloads Report | Download Stats |
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