CRAN/E | geneSLOPE

geneSLOPE

Genome-Wide Association Study with SLOPE

Installation

About

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" .

github.com/psobczyk/geneSLOPE
Bug report File report

Key Metrics

Version 0.38.2
R ≥ 3.1.3
Published 2023-08-16 260 days ago
Needs compilation? no
License GPL-3
CRAN checks geneSLOPE results

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Maintainer

Maintainer

Piotr Sobczyk

pj.sobczyk@gmail.com

Authors

Damian Brzyski

aut

Christine Peterson

aut

Emmanuel J. Candes

aut

Malgorzata Bogdan

aut

Chiara Sabatti

aut

Piotr Sobczyk

cre / aut

Material

README
Reference manual
Package source

Vignettes

Tutorial for GWAS with SLOPE

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Old Sources

geneSLOPE archive

Depends

R ≥ 3.1.3
SLOPE

Imports

ggplot2
bigmemory
grid
utils
stats

Suggests

shiny
knitr
rmarkdown
testthat