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Tools to perform hierarchical inference for one or multiple studies / data sets based on high-dimensional multivariate (generalised) linear models. A possible application is to perform hierarchical inference for GWA studies to find significant groups or single SNPs (if the signal is strong) in a data-driven and automated procedure. The method is based on an efficient hierarchical multiple testing correction and controls the FWER. The functions can easily be run in parallel.
Package details |
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Author | Claude Renaux [aut, cre], Laura Buzdugan [aut], Markus Kalisch [aut], Peter Bühlmann [aut] |
Bioconductor views | Clustering GenomeWideAssociation LinkageDisequilibrium Regression SNP |
Maintainer | Claude Renaux <renaux@stat.math.ethz.ch> |
License | GPL-3 | file LICENSE |
Version | 1.8.0 |
Package repository | View on Bioconductor |
Installation |
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