Introduction | Package use
Package: ASGSCA 1.47.0
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:
ASGSCA_1.47.0.tar.gz
ASGSCA_1.47.0.zip(r-4.7)ASGSCA_1.47.0.zip(r-4.6)ASGSCA_1.47.0.zip(r-4.5)
ASGSCA_1.47.0.tgz(r-4.6-any)ASGSCA_1.47.0.tgz(r-4.5-any)
ASGSCA_1.47.0.tar.gz(r-4.7-any)ASGSCA_1.47.0.tar.gz(r-4.6-any)
ASGSCA_1.47.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ASGSCA/json (API)
| # Install 'ASGSCA' in R: |
| install.packages('ASGSCA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
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-1.47.0(bioc 3.24)ASGSCA-1.46.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:23cd5a030e. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
