Package: geneSLOPE 0.38.1

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 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.

Authors:Damian Brzyski [aut], Christine Peterson [aut], Emmanuel J. Candes [aut], Malgorzata Bogdan [aut], Chiara Sabatti [aut], Piotr Sobczyk [cre, aut]

geneSLOPE_0.38.1.tar.gz
geneSLOPE_0.38.1.zip(r-4.5)geneSLOPE_0.38.1.zip(r-4.4)geneSLOPE_0.38.1.zip(r-4.3)
geneSLOPE_0.38.1.tgz(r-4.4-any)geneSLOPE_0.38.1.tgz(r-4.3-any)
geneSLOPE_0.38.1.tar.gz(r-4.5-noble)geneSLOPE_0.38.1.tar.gz(r-4.4-noble)
geneSLOPE_0.38.1.tgz(r-4.4-emscripten)geneSLOPE_0.38.1.tgz(r-4.3-emscripten)
geneSLOPE.pdf |geneSLOPE.html
geneSLOPE/json (API)

# Install 'geneSLOPE' in R:
install.packages('geneSLOPE', repos = c('https://psobczyk.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/psobczyk/geneslope/issues

On CRAN:

6 exports 3 stars 0.93 score 38 dependencies 7 scripts 186 downloads

Last updated 3 years agofrom:1c323d5abe. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

Exports:clump_snpsgui_geneSLOPEidentify_clumpread_phenotypescreen_snpsselect_snps

Dependencies:BHbigmemorybigmemory.sriclicodetoolscolorspacefansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesSLOPEtibbleutf8uuidvctrsviridisLitewithr

Tutorial for GWAS with SLOPE

Rendered fromGWASwithSLOPE.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2021-11-10
Started: 2015-10-28