Package: hierGWAS 1.35.0

Laura Buzdugan

hierGWAS: Asessing statistical significance in predictive GWA studies

Testing individual SNPs, as well as arbitrarily large groups of SNPs in GWA studies, using a joint model of all SNPs. The method controls the FWER, and provides an automatic, data-driven refinement of the SNP clusters to smaller groups or single markers.

Authors:Laura Buzdugan

hierGWAS_1.35.0.tar.gz
hierGWAS_1.35.0.zip(r-4.5)hierGWAS_1.35.0.zip(r-4.4)hierGWAS_1.35.0.zip(r-4.3)
hierGWAS_1.35.0.tgz(r-4.4-any)hierGWAS_1.35.0.tgz(r-4.3-any)
hierGWAS_1.35.0.tar.gz(r-4.5-noble)hierGWAS_1.35.0.tar.gz(r-4.4-noble)
hierGWAS_1.35.0.tgz(r-4.4-emscripten)hierGWAS_1.35.0.tgz(r-4.3-emscripten)
hierGWAS.pdf |hierGWAS.html✨
hierGWAS/json (API)
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On BioConductor:hierGWAS-1.35.0(bioc 3.20)hierGWAS-1.34.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

4 exports 0.82 score 12 dependencies

Last updated 2 months agofrom:3e78032cfc

Exports:cluster.snpcompute.r2multisplittest.hierarchy

Dependencies:codetoolsfastclusterfmsbforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival