Genome-Wide Association Study with SNP-Set Methods

By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("RAINBOWR")

0.1.17 by Kosuke Hamazaki, 2 months ago


Browse source code at https://github.com/cran/RAINBOWR


Authors: Kosuke Hamazaki [aut, cre] , Hiroyoshi Iwata [aut, ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, rrBLUP, rgl, tcltk, Matrix, cluster, MASS, pbmcapply, optimx, methods, ape

Suggests knitr, rmarkdown

Linking to Rcpp, RcppEigen


See at CRAN