The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 “exact” results as the original GxE VC tests, and does not impose additional assumptions nor relies on approximations. 'SEAGLE' can easily accommodate sample sizes in the order of 10^5, is implementable on standard laptops, and does not require specialized equipment. The accompanying manuscript for this package can be found at Chi, Ipsen, Hsiao, Lin, Wang, Lee, Lu, and Tzeng. (2021+) <doi:10.48550/arXiv.2105.03228>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5.0), Matrix, CompQuadForm |
| Suggests: | rmarkdown, knitr |
| Published: | 2021-11-05 |
| DOI: | 10.32614/CRAN.package.SEAGLE |
| Author: | Jocelyn Chi [aut, cre], Ilse Ipsen [aut], Jung-Ying Tzeng [aut] |
| Maintainer: | Jocelyn Chi <jocetchi at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/jocelynchi/SEAGLE |
| NeedsCompilation: | no |
| Citation: | SEAGLE citation info |
| Materials: | README |
| CRAN checks: | SEAGLE results |
| Reference manual: | SEAGLE.pdf |
| Vignettes: |
example1 example2 example3 example4 |
| Package source: | SEAGLE_1.0.1.tar.gz |
| Windows binaries: | r-devel: SEAGLE_1.0.1.zip, r-release: SEAGLE_1.0.1.zip, r-oldrel: SEAGLE_1.0.1.zip |
| macOS binaries: | r-release (arm64): SEAGLE_1.0.1.tgz, r-oldrel (arm64): SEAGLE_1.0.1.tgz, r-release (x86_64): SEAGLE_1.0.1.tgz, r-oldrel (x86_64): SEAGLE_1.0.1.tgz |
| Old sources: | SEAGLE archive |
Please use the canonical form https://CRAN.R-project.org/package=SEAGLE to link to this page.
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.