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RAINBOWR: 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) <doi:10.1371/journal.pcbi.1007663>.
Browse package contents
Package details |
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| Author | Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb] |
| Maintainer | Kosuke Hamazaki <hamazaki@ut-biomet.org> |
| License | MIT + file LICENSE |
| Version | 0.1.35 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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