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Perform association test within linear mixed model framework using score test integrated with Empirical Bayes for genome-wide association study. Firstly, score test was conducted for each marker under linear mixed model framework, taking into account the genetic relatedness and population structure. And then all the potentially associated markers were selected with a less stringent criterion. Finally, all the selected markers were placed into a multi-locus model to identify the true quantitative trait nucleotide.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table |
| Published: | 2021-09-15 |
| DOI: | 10.32614/CRAN.package.ScoreEB |
| Author: | Wenlong Ren |
| Maintainer: | Wenlong Ren <wenlongren at ntu.edu.cn> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | ScoreEB results |
| Reference manual: | ScoreEB.pdf |
| Package source: | ScoreEB_0.1.1.tar.gz |
| Windows binaries: | r-devel: ScoreEB_0.1.1.zip, r-release: ScoreEB_0.1.1.zip, r-oldrel: ScoreEB_0.1.1.zip |
| macOS binaries: | r-release (arm64): ScoreEB_0.1.1.tgz, r-oldrel (arm64): ScoreEB_0.1.1.tgz, r-release (x86_64): ScoreEB_0.1.1.tgz, r-oldrel (x86_64): ScoreEB_0.1.1.tgz |
| Old sources: | ScoreEB archive |
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These binaries (installable software) and packages are in development.
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