An adaptation of classical region/gene-based association analysis techniques that uses summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most common and efficient gene-based tests on the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand.
Version: | 1.0.0 |
Depends: | R (≥ 3.0.0) |
Imports: | methods, Matrix, splines |
Suggests: | seqminer |
Published: | 2018-01-17 |
Author: | Nadezhda M. Belonogova and Gulnara R. Svishcheva with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Thomas Lumley ('kuonen' method), and James O. Ramsay (functional data analysis functions) |
Maintainer: | Nadezhda M. Belonogova <belon at bionet.nsc.ru> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | sumFREGAT results |
Reference manual: | sumFREGAT.pdf |
Package source: | sumFREGAT_1.0.0.tar.gz |
Windows binaries: | r-devel: sumFREGAT_1.0.0.zip, r-release: sumFREGAT_1.0.0.zip, r-oldrel: sumFREGAT_1.0.0.zip |
OS X El Capitan binaries: | r-release: sumFREGAT_1.0.0.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
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