geneSLOPE: Genome-Wide Association Study with SLOPE

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>
License: GPL-3
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:, r-release:, r-oldrel:
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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