Package: ASGSCA 1.39.0

Hela Romdhani

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).

Authors:Hela Romdhani, Stepan Grinek , Heungsun Hwang and Aurelie Labbe.

ASGSCA_1.39.0.tar.gz
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ASGSCA.pdf |ASGSCA.html✨
ASGSCA/json (API)
NEWS

# Install 'ASGSCA' in R:
install.packages('ASGSCA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • B0 - Matrix indicating connections between the latent variables for QCAHS data.
  • GenPhen - Dataset to test GSCAestim and GSCA functions.
  • QCAHS - Dataset used in the vignette.
  • ResQCAHS - A list containing the results obtained for the QCAHS dataset.
  • W0 - Matrix indicating connections between the observed variables and the latent variables for QCAHS data.

On BioConductor:ASGSCA-1.39.0(bioc 3.20)ASGSCA-1.38.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

2 exports 0.71 score 3 dependencies

Last updated 2 months agofrom:06f227605a

Exports:GSCAGSCAestim

Dependencies:latticeMASSMatrix

Association Studies using Generalized Structured Equation Models.

Rendered fromASGSCA.Rnwusingutils::Sweaveon Jun 17 2024.

Last update: 2014-10-03
Started: 2014-10-03