An adaptation of classical region/gene-based association analysis techniques to the use of summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most popular and efficient gene-based tests using the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | methods, Matrix, splines, seqminer, GBJ |
| Published: | 2018-11-15 |
| Author: | Nadezhda M. Belonogova and Gulnara R. Svishcheva with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Minghui Wang, Yiyuan Liu, Shizhong Han (simpleM function) 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_1.1.0.tar.gz |
| Windows binaries: | r-devel: sumFREGAT_1.1.0.zip, r-release: sumFREGAT_1.1.0.zip, r-oldrel: sumFREGAT_1.1.0.zip |
| macOS binaries: | r-release: sumFREGAT_1.1.0.tgz, r-oldrel: sumFREGAT_1.1.0.tgz |
| Old sources: | sumFREGAT archive |
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