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:Youfei Yu [aut], Alexander Rix [aut, cre]

subgxe_0.9.1.tar.gz
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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'))

Peer review:

Bug tracker:https://github.com/umich-cphds/subgxe/issues

Datasets:
  • studies - Synthetic data for subgxe

On CRAN:

1 exports 0.62 score 0 dependencies 3 scripts 114 downloads

Last updated 5 years agofrom:5e2173eb74. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:pasta

Dependencies:

Getting started with subgxe

Rendered fromsubgxe.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2019-08-14
Started: 2019-06-13