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.
|Author||Claude Renaux [aut, cre], Laura Buzdugan [aut], Markus Kalisch [aut], Peter Bühlmann [aut]|
|Bioconductor views||Clustering GenomeWideAssociation LinkageDisequilibrium Regression SNP|
|Maintainer||Claude Renaux <email@example.com>|
|License||GPL-3 | file LICENSE|
|Package repository||View on Bioconductor|
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