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subgxe
View on CRAN: Click
here
Download and install subgxe package within the R console
Install from CRAN:
install.packages("subgxe")
Install from Github:
library("remotes")
install_github("cran/subgxe") Install by package version:
library("remotes")
install_version("subgxe", "0.9.0") Attach the package and use:
library("subgxe")
Maintained by
Alexander Rix
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[Scholar Profile | Author Map]
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First Published: 2019-06-14
Latest Update: 2019-06-14
Description:
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.
How to cite:
Alexander Rix (2019). subgxe: Combine Multiple GWAS by Using Gene-Environment Interactions. R package version 0.9.0, https://cran.r-project.org/web/packages/subgxe. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 0.9.0 (2019-06-14 15:30)
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Complete documentation for subgxe
Functions, R codes and Examples using
the subgxe R package
Some associated functions: pasta . studies .
Some associated R codes: data.R . pasta.R . Full subgxe package functions and examples
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