Genome-wide association study (GWAS) performed with SLOPE, short for Sorted L-One Penalized Estimation, a method for estimating the vector of coefficients in linear model. In the first step of GWAS, SNPs are clumped according to their correlations and distances. Then, SLOPE is performed on data where each clump has one representative.
| Version: | 0.37.0 |
| Depends: | R (≥ 3.1.3), SLOPE |
| Imports: | ggplot2, bigmemory, grid, utils, stats |
| Suggests: | shiny, knitr, rmarkdown, testthat |
| Published: | 2016-10-26 |
| Author: | Damian Brzyski [aut], Christine Peterson [aut], Emmanuel J. Candes [aut], Malgorzata Bogdan [aut], Chiara Sabatti [aut], Piotr Sobczyk [cre, aut] |
| Maintainer: | Piotr Sobczyk <piotr.sobczyk at pwr.edu.pl> |
| BugReports: | https://github.com/psobczyk/geneSLOPE/issues |
| License: | GPL-3 |
| URL: | https://github.com/psobczyk/geneSLOPE |
| NeedsCompilation: | no |
| CRAN checks: | geneSLOPE results |
| Reference manual: | geneSLOPE.pdf |
| Vignettes: |
Tutorial for GWAS with SLOPE |
| Package source: | geneSLOPE_0.37.0.tar.gz |
| Windows binaries: | r-devel: geneSLOPE_0.37.0.zip, r-release: geneSLOPE_0.37.0.zip, r-oldrel: geneSLOPE_0.37.0.zip |
| OS X El Capitan binaries: | r-release: geneSLOPE_0.37.0.tgz |
| OS X Mavericks binaries: | r-oldrel: geneSLOPE_0.37.0.tgz |
| Old sources: | geneSLOPE archive |
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