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.

AuthorLaura Buzdugan
Date of publicationNone
MaintainerLaura Buzdugan <buzdugan@stat.math.ethz.ch>
LicenseGPL-3
Version1.4.0

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Files in this package

hierGWAS/DESCRIPTION
hierGWAS/NAMESPACE
hierGWAS/NEWS
hierGWAS/R
hierGWAS/R/MEL.R hierGWAS/R/adj.pval.R hierGWAS/R/cluster.snp.R hierGWAS/R/comp.cluster.pval.R hierGWAS/R/compute.r2.R hierGWAS/R/iterative.DFS.R hierGWAS/R/lasso.select.R hierGWAS/R/multisplit.R hierGWAS/R/return.r2.R hierGWAS/R/test.hierarchy.R hierGWAS/R/test.snp.R
hierGWAS/build
hierGWAS/build/vignette.rds
hierGWAS/data
hierGWAS/data/simGWAS.rda
hierGWAS/inst
hierGWAS/inst/doc
hierGWAS/inst/doc/hierGWAS.R
hierGWAS/inst/doc/hierGWAS.Rnw
hierGWAS/inst/doc/hierGWAS.pdf
hierGWAS/inst/unitTests
hierGWAS/inst/unitTests/test_cluster.snp.R
hierGWAS/inst/unitTests/test_multisplit.R
hierGWAS/man
hierGWAS/man/cluster.snp.Rd hierGWAS/man/compute.r2.Rd hierGWAS/man/hierGWAS.Rd hierGWAS/man/multisplit.Rd hierGWAS/man/simGWAS.Rd hierGWAS/man/test.hierarchy.Rd
hierGWAS/tests
hierGWAS/tests/runTests.R
hierGWAS/vignettes
hierGWAS/vignettes/flowchart2.pdf
hierGWAS/vignettes/hierGWAS.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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