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gtWAS  

Genome and Transcriptome Wide Association Study
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gtWAS", "1.1.0")



Attach the package and use:
library("gtWAS")
Maintained by
JunhuiLi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-08
Latest Update: 2019-06-01
Description:
Quantitative trait loci mapping and genome wide association analysis are used to find candidate molecular marker or region associated with phenotype based on linkage analysis and linkage disequilibrium. Gene expression quantitative trait loci mapping is used to find candidate molecular marker or region associated with gene expression. In this package, we applied the method in Liu W. (2011) and Gusev A. (2016) to genome and transcriptome wide association study, which is aimed at revealing the association relationship between phenotype and molecular markers, expression levels, molecular markers nested within different related expression effect and expression effect nested within different related molecular marker effect. F test based on full and reduced model are performed to obtain p value or likelihood ratio statistic. The best linear model can be obtained by stepwise regression analysis.
How to cite:
JunhuiLi (2018). gtWAS: Genome and Transcriptome Wide Association Study. R package version 1.1.0, https://cran.r-project.org/web/packages/gtWAS. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-01-08 16:30)
Other packages that cited gtWAS R package
View gtWAS citation profile
Other R packages that gtWAS depends, imports, suggests or enhances
Complete documentation for gtWAS
Functions, R codes and Examples using the gtWAS R package
Some associated functions: Association . ModelFit . StepOne . Tdata . alldata . gtWAS-package . stp . 
Some associated R codes: Association.R . ModelFit.R . StepOne.R . stp.R .  Full gtWAS package functions and examples
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