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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "hierGWAS" in publications use:'
type: software
license: GPL-3.0-only
title: 'hierGWAS: Asessing statistical significance in predictive GWA studies'
version: 1.35.0
abstract: 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:
- family-names: Buzdugan
  given-names: Laura
  email: buzdugan@stat.math.ethz.ch
repository: https://bioc.r-universe.dev
contact:
- family-names: Buzdugan
  given-names: Laura
  email: buzdugan@stat.math.ethz.ch