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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" <arXiv:1407.3824>.
Getting started
Browse package contents
Package details |
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| 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@gmail.com> |
| License | GPL-3 |
| Version | 0.38.2 |
| URL | https://github.com/psobczyk/geneSLOPE |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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