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

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).

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ASGSCA")
AuthorHela Romdhani, Stepan Grinek , Heungsun Hwang and Aurelie Labbe.
Bioconductor views StructuralEquationModels
Date of publicationNone
MaintainerHela Romdhani <hela.romdhani@mcgill.ca>
LicenseGPL-3
Version1.10.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/GSCAestim.R R/GSCAtest.R
build
build/vignette.rds
data
data/B0.rda
data/GenPhen.rda
data/QCAHS.rda
data/ResQCAHS.rda
data/W0.rda
inst
inst/NEWS.Rd
inst/doc
inst/doc/ASGSCA.R
inst/doc/ASGSCA.Rnw
inst/doc/ASGSCA.pdf
man
man/ASGSCA-package.Rd man/B0.Rd man/GSCA.Rd man/GSCAestim.Rd man/GenPhen.Rd man/QCAHS.Rd man/ResQCAHS.Rd man/W0.Rd
vignettes
vignettes/ASGSCA.Rnw
vignettes/ASGSCA.Rnw.sav
vignettes/exp.jpg
vignettes/exp2.jpg
vignettes/fancyvrb.sty
vignettes/path.jpg
vignettes/path0.jpg
vignettes/pathpart.jpg
vignettes/pathpart1.jpg
vignettes/zi4.sty.txt

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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