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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.
| Version: | 0.9.0 |
| Suggests: | lmtest, knitr, rmarkdown |
| Published: | 2019-06-14 |
| Author: | Youfei Yu [aut], Alexander Rix [cre] |
| Maintainer: | Alexander Rix <alexrix at umich.edu> |
| BugReports: | https://github.com/umich-cphds/subgxe/issues |
| License: | GPL-3 |
| URL: | https://github.com/umich-cphds/subgxe |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | subgxe results |
| Reference manual: | subgxe.pdf |
| Vignettes: |
Getting started with subgxe |
| Package source: | subgxe_0.9.0.tar.gz |
| Windows binaries: | r-devel: subgxe_0.9.0.zip, r-release: subgxe_0.9.0.zip, r-oldrel: subgxe_0.9.0.zip |
| macOS binaries: | r-release (arm64): subgxe_0.9.0.tgz, r-oldrel (arm64): subgxe_0.9.0.tgz, r-release (x86_64): subgxe_0.9.0.tgz, r-oldrel (x86_64): subgxe_0.9.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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