RAINBOW: RAINBOW: Perform Genome-Wide Asscoiation Study (GWAS) By...
In KosukeHamazaki/RAINBOW: Genome-Wide Association Study with SNP-Set Methods
Description
By using 'RAINBOW' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods.
Users can test not only additive effects but also dominance and epistatic effects.
In detail, please check our preprint on bioRxiv: Kosuke Hamazaki and Hiroyoshi Iwata (2019) <doi:10.1101/612028>.
KosukeHamazaki/RAINBOW documentation built on Dec. 12, 2020, 8:35 p.m.
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Description
By using 'RAINBOW' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our preprint on bioRxiv: Kosuke Hamazaki and Hiroyoshi Iwata (2019) <doi:10.1101/612028>.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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