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.

Documentation

Manual: geneSLOPE.pdf
Vignette: Tutorial for GWAS with SLOPE

Maintainer: Piotr Sobczyk <piotr.sobczyk at pwr.edu.pl>

Author(s): Damian Brzyski*, Christine Peterson*, Emmanuel J. Candes*, Malgorzata Bogdan*, Chiara Sabatti*, Piotr Sobczyk*

Install package and any missing dependencies by running this line in your R console:

install.packages("geneSLOPE")

Depends R (>= 3.1.3), SLOPE
Imports ggplot2, bigmemory, grid, utils, stats
Suggests shiny, knitr, rmarkdown, testthat
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Package geneSLOPE
Materials
URL https://github.com/psobczyk/geneSLOPE
Task Views
Version 0.37.0
Published 2016-10-26
License GPL-3
BugReports https://github.com/psobczyk/geneSLOPE/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks geneSLOPE check results
Package source geneSLOPE_0.37.0.tar.gz