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.
- Version0.38.2
- R version≥ 3.1.3
- LicenseGPL-3
- Needs compilation?No
- Last release08/16/2023
Documentation
Team
Piotr Sobczyk
Malgorzata Bogdan
Show author detailsRolesAuthorChiara Sabatti
Show author detailsRolesAuthorDamian Brzyski
Show author detailsRolesAuthorChristine Peterson
Show author detailsRolesAuthorEmmanuel J. Candes
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 189 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,298 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports2 packages
- Suggests4 packages