To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ASGSCA")
In most cases, you don't need to download the package archive at all.
ASGSCA
Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models
Bioconductor version: 3.0
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 and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ASGSCA")
Documentation
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 |
Details
| biocViews | Software, StructuralEquationModels |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) |
| License | GPL-3 |
| Depends | |
| Imports | Matrix, MASS |
| LinkingTo | |
| Suggests | BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | ASGSCA_1.0.0.tar.gz |
| Windows Binary | ASGSCA_1.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | ASGSCA_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | ASGSCA_1.0.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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