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Genome-wide association study (GWAS) performed with SLOPE, short for Sorted L-One Penalized Estimation, a method for estimating the vector of coefficients in a linear model. In the first step of GWAS, single nucleotide polymorphisms (SNPs) are clumped according to their correlations and distances. Then, SLOPE is performed on the data where each clump has one representative. Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su and Emmanuel Candes (2014) "SLOPE - Adaptive Variable Selection via Convex Optimization" <doi:10.48550/arXiv.1407.3824>.
Version: | 0.38.2 |
Depends: | R (≥ 3.1.3), SLOPE |
Imports: | ggplot2, bigmemory, grid, utils, stats |
Suggests: | shiny, knitr, rmarkdown, testthat |
Published: | 2023-08-16 |
DOI: | 10.32614/CRAN.package.geneSLOPE |
Author: | Damian Brzyski [aut], Christine Peterson [aut], Emmanuel J. Candes [aut], Malgorzata Bogdan [aut], Chiara Sabatti [aut], Piotr Sobczyk [cre, aut] |
Maintainer: | Piotr Sobczyk <pj.sobczyk at gmail.com> |
BugReports: | https://github.com/psobczyk/geneSLOPE/issues |
License: | GPL-3 |
URL: | https://github.com/psobczyk/geneSLOPE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | geneSLOPE results |
Reference manual: | geneSLOPE.pdf |
Vignettes: |
Tutorial for GWAS with SLOPE |
Package source: | geneSLOPE_0.38.2.tar.gz |
Windows binaries: | r-devel: geneSLOPE_0.38.2.zip, r-release: geneSLOPE_0.38.2.zip, r-oldrel: geneSLOPE_0.38.2.zip |
macOS binaries: | r-release (arm64): geneSLOPE_0.38.2.tgz, r-oldrel (arm64): geneSLOPE_0.38.2.tgz, r-release (x86_64): geneSLOPE_0.38.2.tgz, r-oldrel (x86_64): geneSLOPE_0.38.2.tgz |
Old sources: | geneSLOPE archive |
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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.
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