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
subgxe_0.9.1.zip(r-4.7)subgxe_0.9.1.zip(r-4.6)subgxe_0.9.1.zip(r-4.5)
subgxe_0.9.1.tgz(r-4.6-any)subgxe_0.9.1.tgz(r-4.5-any)
subgxe_0.9.1.tar.gz(r-4.7-any)subgxe_0.9.1.tar.gz(r-4.6-any)
subgxe_0.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
subgxe/json (API)

# 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

Datasets:

studies - Synthetic data for subgxe

On CRAN:

3.70 score 4 scripts 39 downloads 1 exports 0 dependencies

Last updated from:5e2173eb74. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	103
source / vignettes	OK	133
linux-release-x86_64	OK	115
macos-release-arm64	OK	134
macos-oldrel-arm64	OK	124
windows-devel	OK	68
windows-release	OK	74
windows-oldrel	OK	80
wasm-release	OK	86