Package: subgxe 0.9.1
Alexander Rix
subgxe: Combine Multiple GWAS by Using Gene-Environment Interactions
Classical methods for combining summary data from genome-wide association studies (GWAS) only use marginal genetic effects and power can be compromised in the presence of heterogeneity. 'subgxe' is a R package that implements p-value assisted subset testing for association (pASTA), a method developed by Yu et al (2019) <doi:10.1159/000496867>. pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.
Authors:
subgxe_0.9.1.tar.gz
subgxe_0.9.1.zip(r-4.5)subgxe_0.9.1.zip(r-4.4)subgxe_0.9.1.zip(r-4.3)
subgxe_0.9.1.tgz(r-4.4-any)subgxe_0.9.1.tgz(r-4.3-any)
subgxe_0.9.1.tar.gz(r-4.5-noble)subgxe_0.9.1.tar.gz(r-4.4-noble)
subgxe_0.9.1.tgz(r-4.4-emscripten)subgxe_0.9.1.tgz(r-4.3-emscripten)
subgxe.pdf |subgxe.html✨
subgxe/json (API)
NEWS
| # Install 'subgxe' in R: |
| install.packages('subgxe', repos = c('https://umich-cphds.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umich-cphds/subgxe/issues
- studies - Synthetic data for subgxe
Last updated 5 years agofrom:5e2173eb74. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:pasta
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| pasta for multi-phenotype analysis | pasta |
| Synthetic data for subgxe | studies |