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RAINBOWR  

Genome-Wide Association Study with SNP-Set Methods
View on CRAN: Click here


Download and install RAINBOWR package within the R console
Install from CRAN:
install.packages("RAINBOWR")

Install from Github:
library("remotes")
install_github("cran/RAINBOWR")

Install by package version:
library("remotes")
install_version("RAINBOWR", "0.1.35")



Attach the package and use:
library("RAINBOWR")
Maintained by
Kosuke Hamazaki
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-12
Latest Update: 2023-08-09
Description:
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) .
How to cite:
Kosuke Hamazaki (2019). RAINBOWR: Genome-Wide Association Study with SNP-Set Methods. R package version 0.1.35, https://cran.r-project.org/web/packages/RAINBOWR. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.13 (2019-11-12 13:30), 0.1.14 (2019-11-14 10:00), 0.1.17 (2020-04-29 10:20), 0.1.19 (2020-07-23 12:50), 0.1.21 (2020-10-26 15:30), 0.1.26 (2021-02-08 12:30), 0.1.29 (2022-01-07 14:53), 0.1.32 (2023-08-09 06:20), 0.1.33 (2023-09-12 07:40)
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