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SEAGLE
View on CRAN: Click
here
Download and install SEAGLE package within the R console
Install from CRAN:
install.packages("SEAGLE")
Install from Github:
library("remotes")
install_github("cran/SEAGLE")
Install by package version:
library("remotes")
install_version("SEAGLE", "1.0.1")
Attach the package and use:
library("SEAGLE")
Maintained by
Jocelyn Chi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-07
Latest Update: 2021-11-05
Description:
The explosion of biobank data offers immediate opportunities for
gene-environment (GxE) interaction studies of complex diseases because of the
large sample sizes and rich collection in genetic and non-genetic information.
However, the extremely large sample size also introduces new computational
challenges in GxE assessment, especially for set-based GxE variance component (VC)
tests, a widely used strategy to boost overall GxE signals and to evaluate the
joint GxE effect of multiple variants from a biologically meaningful unit
(e.g., gene).
We present 'SEAGLE', a Scalable Exact AlGorithm for Large-scale Set-based
GxE tests, to permit GxE VC test scalable to biobank data. 'SEAGLE' employs modern
matrix computations to achieve the same
How to cite:
Jocelyn Chi (2021). SEAGLE: Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests. R package version 1.0.1, https://cran.r-project.org/web/packages/SEAGLE. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2021-06-07 09:10)
Other packages that cited SEAGLE R package
View SEAGLE citation profile
Other R packages that SEAGLE depends,
imports, suggests or enhances
Complete documentation for SEAGLE
Functions, R codes and Examples using
the SEAGLE R package
Some associated functions: Rinv.AtG . Rinv.u . SEAGLE . Vinv . applyAt . cosihap . estimate.vc . makeSimData . prep.SEAGLE .
Some associated R codes: data.R . em_reml.R . makeData.R . prepData.R . score.R . Full SEAGLE package functions and examples
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