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 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=geneSLOPE
to link to this page.